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1. Introduction — Dive into Deep Learning 1.0.3 documentation

1. Introduction — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_introduction/index.html
Last glasped on Jan 31, 2024
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3.1. Linear Regression — Dive into Deep Learning 1.0.3 documentation

3.1. Linear Regression — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_linear-regression/linear-regression.html
Last glasped on Feb 5, 2024
5 users
4.1. Softmax 回归 — 深入了解深度学习 1.0.3 文档 --- 4.1. Softmax Regression — Dive into Deep Learning 1.0.3 documentation

4.1. Softmax 回归 — 深入了解深度学习 1.0.3 文档 --- 4.1. Softmax Regression — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_linear-classification/softmax-regression.html
Last glasped on Feb 18, 2024
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11.1. Queries, Keys, and Values — Dive into Deep Learning 1.0.3 documentation

11.1. Queries, Keys, and Values — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/queries-keys-values.html
Last glasped on Dec 6, 2023
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2.3. Linear Algebra — Dive into Deep Learning 1.0.0-beta0 documentation

2.3. Linear Algebra — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_preliminaries/linear-algebra.html
Last glasped on Apr 26, 2023
3 users
5.1. Multilayer Perceptrons — Dive into Deep Learning 1.0.3 documentation

5.1. Multilayer Perceptrons — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_multilayer-perceptrons/mlp.html
Last glasped on Feb 5, 2024
3 users
7.2. Convolutions for Images — Dive into Deep Learning 1.0.3 documentation

7.2. Convolutions for Images — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-neural-networks/conv-layer.html
Last glasped on Feb 6, 2024
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11.3. Attention Scoring Functions — Dive into Deep Learning 1.0.3 documentation

11.3. Attention Scoring Functions — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/attention-scoring-functions.html
Last glasped on Dec 9, 2023
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11. Attention Mechanisms and Transformers — Dive into Deep Learning 1.0.3 documentation

11. Attention Mechanisms and Transformers — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/index.html
Last glasped on Dec 6, 2023
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7.1. From Fully Connected Layers to Convolutions — Dive into Deep Learning 1.0.3 documentation

7.1. From Fully Connected Layers to Convolutions — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-neural-networks/why-conv.html
Last glasped on Feb 6, 2024
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11.4. The Bahdanau Attention Mechanism — Dive into Deep Learning 1.0.3 documentation

11.4. The Bahdanau Attention Mechanism — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/bahdanau-attention.html
Last glasped on Dec 9, 2023
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8.6. Residual Networks (ResNet) and ResNeXt — Dive into Deep Learning 1.0.3 documentation

8.6. Residual Networks (ResNet) and ResNeXt — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-modern/resnet.html
Last glasped on Feb 12, 2024
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2.1. Data Manipulation — Dive into Deep Learning 1.0.0-beta0 documentation

2.1. Data Manipulation — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_preliminaries/ndarray.html
Last glasped on Feb 21, 2023
3 users
10.8. Beam Search — Dive into Deep Learning 1.0.3 documentation

10.8. Beam Search — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_recurrent-modern/beam-search.html
Last glasped on Oct 17, 2023
2 users
9.5. Recurrent Neural Network Implementation from Scratch — Dive into Deep Learning 1.0.3 documentation

9.5. Recurrent Neural Network Implementation from Scratch — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_recurrent-neural-networks/rnn-scratch.html
Last glasped on Oct 13, 2023
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7.3. Padding and Stride — Dive into Deep Learning 1.0.3 documentation

7.3. Padding and Stride — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-neural-networks/padding-and-strides.html
Last glasped on Feb 6, 2024
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14.4. Anchor Boxes — Dive into Deep Learning 1.0.0-beta0 documentation

14.4. Anchor Boxes — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/anchor.html
Last glasped on Jun 15, 2023
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11.2. Attention Pooling by Similarity — Dive into Deep Learning 1.0.3 documentation

11.2. Attention Pooling by Similarity — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/attention-pooling.html
Last glasped on Dec 7, 2023
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5.3. Forward Propagation, Backward Propagation, and Computational Graphs — Dive into Deep Learning 1.0.3 documentation

5.3. Forward Propagation, Backward Propagation, and Computational Graphs — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_multilayer-perceptrons/backprop.html
Last glasped on Feb 5, 2024
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4.7. Environment and Distribution Shift — Dive into Deep Learning 1.0.3 documentation

4.7. Environment and Distribution Shift — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_linear-classification/environment-and-distribution-shift.html
Last glasped on Feb 5, 2024
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11.7. The Transformer Architecture — Dive into Deep Learning 1.0.3 documentation

11.7. The Transformer Architecture — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/transformer.html
Last glasped on Dec 10, 2023
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10.1. Long Short-Term Memory (LSTM) — Dive into Deep Learning 1.0.3 documentation

10.1. Long Short-Term Memory (LSTM) — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_recurrent-modern/lstm.html
Last glasped on Oct 13, 2023
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2.2. Data Preprocessing — Dive into Deep Learning 1.0.0-beta0 documentation

2.2. Data Preprocessing — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_preliminaries/pandas.html
Last glasped on Feb 21, 2023
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14.7. Detección de caja múltiple de disparo único: sumérjase en la documentación de Deep Learning 1.0.3

14.7. Detección de caja múltiple de disparo único: sumérjase en la documentación de Deep Learning 1.0.3

d2l.ai/chapter_computer-vision/ssd.html
Last glasped on Nov 4, 2023
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14.10. Transposed Convolution — Dive into Deep Learning 1.0.0-beta0 documentation

14.10. Transposed Convolution — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/transposed-conv.html
Last glasped on Jun 21, 2023
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10.6. The Encoder–Decoder Architecture — Dive into Deep Learning 1.0.3 documentation

10.6. The Encoder–Decoder Architecture — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_recurrent-modern/encoder-decoder.html
Last glasped on Nov 10, 2023
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2.5. Automatic Differentiation — Dive into Deep Learning 1.0.0-beta0 documentation

2.5. Automatic Differentiation — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_preliminaries/autograd.html
Last glasped on Feb 21, 2023
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8.4. Multi-Branch Networks (GoogLeNet) — Dive into Deep Learning 1.0.3 documentation

8.4. Multi-Branch Networks (GoogLeNet) — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-modern/googlenet.html
Last glasped on Feb 12, 2024
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5.6. Dropout — Dive into Deep Learning 1.0.3 documentation

5.6. Dropout — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_multilayer-perceptrons/dropout.html
Last glasped on Feb 6, 2024
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5.5. Generalization in Deep Learning — Dive into Deep Learning 1.0.3 documentation

5.5. Generalization in Deep Learning — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_multilayer-perceptrons/generalization-deep.html
Last glasped on Feb 6, 2024
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2.4. Calculus — Dive into Deep Learning 1.0.0-beta0 documentation

2.4. Calculus — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_preliminaries/calculus.html
Last glasped on Feb 21, 2023
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12.1. Optimization and Deep Learning — Dive into Deep Learning 1.0.0-beta0 documentation

12.1. Optimization and Deep Learning — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/optimization-intro.html
Last glasped on Jun 12, 2023
2 users
9.1. Working with Sequences — Dive into Deep Learning 1.0.3 documentation

9.1. Working with Sequences — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_recurrent-neural-networks/sequence.html
Last glasped on Nov 16, 2023
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8.5. Batch Normalization — Dive into Deep Learning 1.0.3 documentation

8.5. Batch Normalization — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-modern/batch-norm.html
Last glasped on Feb 17, 2024
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4.3. The Base Classification Model — Dive into Deep Learning 1.0.3 documentation

4.3. The Base Classification Model — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_linear-classification/classification.html
Last glasped on Feb 5, 2024
2 users
11.5. Multi-Head Attention — Dive into Deep Learning 1.0.3 documentation

11.5. Multi-Head Attention — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/multihead-attention.html
Last glasped on Dec 9, 2023
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3.2. Object-Oriented Design for Implementation — Dive into Deep Learning 1.0.0-beta0 documentation

3.2. Object-Oriented Design for Implementation — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_linear-regression/oo-design.html
Last glasped on Jan 15, 2023
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14.1. Image Augmentation — Dive into Deep Learning 1.0.3 documentation

14.1. Image Augmentation — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_computer-vision/image-augmentation.html
Last glasped on Feb 12, 2024
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Preface — Dive into Deep Learning 1.0.3 documentation

Preface — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_preface/index.html
Last glasped on Feb 2, 2024
2 users
4.5. Concise Implementation of Softmax Regression — Dive into Deep Learning 1.0.3 documentation

4.5. Concise Implementation of Softmax Regression — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_linear-classification/softmax-regression-concise.html
Last glasped on Feb 5, 2024
2 users
8.2. Networks Using Blocks (VGG) — Dive into Deep Learning 1.0.3 documentation

8.2. Networks Using Blocks (VGG) — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-modern/vgg.html
Last glasped on Feb 12, 2024
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7.5. Pooling — Dive into Deep Learning 1.0.3 documentation

7.5. Pooling — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-neural-networks/pooling.html
Last glasped on Feb 6, 2024
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5.4. Numerical Stability and Initialization — Dive into Deep Learning 1.0.3 documentation

5.4. Numerical Stability and Initialization — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_multilayer-perceptrons/numerical-stability-and-init.html
Last glasped on Feb 5, 2024
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2.6. Probability and Statistics — Dive into Deep Learning 1.0.0-beta0 documentation

2.6. Probability and Statistics — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_preliminaries/probability.html
Last glasped on Jul 12, 2023
2 users
15.1. Word Embedding (word2vec) — Dive into Deep Learning 1.0.0-beta0 documentation

15.1. Word Embedding (word2vec) — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_natural-language-processing-pretraining/word2vec.html
Last glasped on Jun 24, 2023
2 users
11.6. Self-Attention and Positional Encoding — Dive into Deep Learning 1.0.3 documentation

11.6. Self-Attention and Positional Encoding — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/self-attention-and-positional-encoding.html
Last glasped on Dec 9, 2023
2 users
7.4. Multiple Input and Multiple Output Channels — Dive into Deep Learning 1.0.3 documentation

7.4. Multiple Input and Multiple Output Channels — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-neural-networks/channels.html
Last glasped on Feb 6, 2024
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14.9. Semantic Segmentation and the Dataset — Dive into Deep Learning 1.0.0-beta0 documentation

14.9. Semantic Segmentation and the Dataset — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/semantic-segmentation-and-dataset.html
Last glasped on Jun 21, 2023
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16.6. Fine-Tuning BERT for Sequence-Level and Token-Level Applications — Dive into Deep Learning 1.0.0-beta0 documentation

16.6. Fine-Tuning BERT for Sequence-Level and Token-Level Applications — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_natural-language-processing-applications/finetuning-bert.html
Last glasped on Jun 28, 2023
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4.6. Generalization in Classification — Dive into Deep Learning 1.0.3 documentation

4.6. Generalization in Classification — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_linear-classification/generalization-classification.html
Last glasped on Feb 5, 2024
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4.4. Softmax Regression Implementation from Scratch — Dive into Deep Learning 1.0.3 documentation

4.4. Softmax Regression Implementation from Scratch — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_linear-classification/softmax-regression-scratch.html
Last glasped on Feb 5, 2024
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18.2. Gaussian Process Priors — Dive into Deep Learning 1.0.0-beta0 documentation

18.2. Gaussian Process Priors — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_gaussian-processes/gp-priors.html
Last glasped on Jul 3, 2023
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13.1. Compilers and Interpreters — Dive into Deep Learning 1.0.0-beta0 documentation

13.1. Compilers and Interpreters — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computational-performance/hybridize.html
Last glasped on Jun 13, 2023
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12.6. Momentum — Dive into Deep Learning 1.0.0-beta0 documentation

12.6. Momentum — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/momentum.html
Last glasped on Jun 13, 2023
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8.3. Network in Network (NiN) — Dive into Deep Learning 1.0.0-beta0 documentation

8.3. Network in Network (NiN) — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_convolutional-modern/nin.html
Last glasped on Jun 2, 2023
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8.7. Densely Connected Networks (DenseNet) — Dive into Deep Learning 1.0.0-beta0 documentation

8.7. Densely Connected Networks (DenseNet) — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_convolutional-modern/densenet.html
Last glasped on Jun 5, 2023
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9.3. Language Models — Dive into Deep Learning 1.0.0-beta0 documentation

9.3. Language Models — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_recurrent-neural-networks/language-model.html
Last glasped on Jun 8, 2023
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15.6. Subword Embedding — Dive into Deep Learning 1.0.0-beta0 documentation

15.6. Subword Embedding — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_natural-language-processing-pretraining/subword-embedding.html
Last glasped on Jun 25, 2023
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9.4. Recurrent Neural Networks — Dive into Deep Learning 1.0.3 documentation

9.4. Recurrent Neural Networks — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_recurrent-neural-networks/rnn.html
Last glasped on Jun 10, 2023
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12.11. Learning Rate Scheduling — Dive into Deep Learning 1.0.0-beta0 documentation

12.11. Learning Rate Scheduling — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/lr-scheduler.html
Last glasped on Jun 13, 2023
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10.5. Machine Translation and the Dataset — Dive into Deep Learning 1.0.0-beta0 documentation

10.5. Machine Translation and the Dataset — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_recurrent-modern/machine-translation-and-dataset.html
Last glasped on Jun 11, 2023
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14.12. Neural Style Transfer — Dive into Deep Learning 1.0.0-beta0 documentation

14.12. Neural Style Transfer — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/neural-style.html
Last glasped on Jun 22, 2023
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5.2. Implementation of Multilayer Perceptrons — Dive into Deep Learning 1.0.3 documentation

5.2. Implementation of Multilayer Perceptrons — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_multilayer-perceptrons/mlp-implementation.html
Last glasped on Feb 5, 2024
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18. Gaussian Processes — Dive into Deep Learning 1.0.3 documentation

18. Gaussian Processes — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_gaussian-processes/index.html
Last glasped on Dec 30, 2023
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12.8. RMSProp — Dive into Deep Learning 1.0.0-beta0 documentation

12.8. RMSProp — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/rmsprop.html
Last glasped on Jun 13, 2023
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3.6. Generalization — Dive into Deep Learning 1.0.3 documentation

3.6. Generalization — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_linear-regression/generalization.html
Last glasped on Feb 5, 2024
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11.9. Large-Scale Pretraining with Transformers — Dive into Deep Learning 1.0.0-beta0 documentation

11.9. Large-Scale Pretraining with Transformers — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/large-pretraining-transformers.html
Last glasped on Jun 12, 2023
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9. Recurrent Neural Networks — Dive into Deep Learning 1.0.0-beta0 documentation

9. Recurrent Neural Networks — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_recurrent-neural-networks/index.html
Last glasped on Jun 7, 2023
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14.5. Multiscale Object Detection — Dive into Deep Learning 1.0.0-beta0 documentation

14.5. Multiscale Object Detection — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/multiscale-object-detection.html
Last glasped on Jun 15, 2023
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15.8. Bidirectional Encoder Representations from Transformers (BERT) — Dive into Deep Learning 1.0.0-beta0 documentation

15.8. Bidirectional Encoder Representations from Transformers (BERT) — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_natural-language-processing-pretraining/bert.html
Last glasped on Jun 25, 2023
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12.2. Convexity — Dive into Deep Learning 1.0.0-beta0 documentation

12.2. Convexity — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/convexity.html
Last glasped on Jun 12, 2023
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14.11. Fully Convolutional Networks — Dive into Deep Learning 1.0.0-beta0 documentation

14.11. Fully Convolutional Networks — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/fcn.html
Last glasped on Jun 22, 2023
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12.7. Adagrad — Dive into Deep Learning 1.0.0-beta0 documentation

12.7. Adagrad — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/adagrad.html
Last glasped on Jun 13, 2023
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Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation

Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation

d2l.ai/
Last glasped on Feb 2, 2024
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18.1. Introduction to Gaussian Processes — Dive into Deep Learning 1.0.0-beta0 documentation

18.1. Introduction to Gaussian Processes — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_gaussian-processes/gp-intro.html
Last glasped on Jul 3, 2023
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12.5. Minibatch Stochastic Gradient Descent — Dive into Deep Learning 1.0.0-beta0 documentation

12.5. Minibatch Stochastic Gradient Descent — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/minibatch-sgd.html
Last glasped on Jun 13, 2023
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11.8. Transformers for Vision — Dive into Deep Learning 1.0.0-beta0 documentation

11.8. Transformers for Vision — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_attention-mechanisms-and-transformers/vision-transformer.html
Last glasped on Jun 12, 2023
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13.2. Asynchronous Computation — Dive into Deep Learning 1.0.0-beta0 documentation

13.2. Asynchronous Computation — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computational-performance/async-computation.html
Last glasped on Jun 14, 2023
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12.9. Adadelta — Dive into Deep Learning 1.0.0-beta0 documentation

12.9. Adadelta — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/adadelta.html
Last glasped on Jun 13, 2023
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14.3. Object Detection and Bounding Boxes — Dive into Deep Learning 1.0.0-beta0 documentation

14.3. Object Detection and Bounding Boxes — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/bounding-box.html
Last glasped on Jun 15, 2023
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6.1. Layers and Modules — Dive into Deep Learning 1.0.0-beta0 documentation

6.1. Layers and Modules — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_builders-guide/model-construction.html
Last glasped on May 30, 2023
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14.2. Fine-Tuning — Dive into Deep Learning 1.0.0-beta0 documentation

14.2. Fine-Tuning — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/fine-tuning.html
Last glasped on Jun 15, 2023
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10.2. Gated Recurrent Units (GRU) — Dive into Deep Learning 1.0.0-beta0 documentation

10.2. Gated Recurrent Units (GRU) — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_recurrent-modern/gru.html
Last glasped on Jun 11, 2023
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10.7. Encoder-Decoder Seq2Seq for Machine Translation — Dive into Deep Learning 1.0.0-beta0 documentation

10.7. Encoder-Decoder Seq2Seq for Machine Translation — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_recurrent-modern/seq2seq.html
Last glasped on Jun 11, 2023
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12.4. Stochastic Gradient Descent — Dive into Deep Learning 1.0.0-beta0 documentation

12.4. Stochastic Gradient Descent — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/sgd.html
Last glasped on Jun 13, 2023
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12.3. Gradient Descent — Dive into Deep Learning 1.0.0-beta0 documentation

12.3. Gradient Descent — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_optimization/gd.html
Last glasped on Jun 13, 2023
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15.4. Pretraining word2vec — Dive into Deep Learning 1.0.0-beta0 documentation

15.4. Pretraining word2vec — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_natural-language-processing-pretraining/word2vec-pretraining.html
Last glasped on Jun 25, 2023
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15.9. The Dataset for Pretraining BERT — Dive into Deep Learning 1.0.3 documentation

15.9. The Dataset for Pretraining BERT — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_natural-language-processing-pretraining/bert-dataset.html
Last glasped on Feb 29, 2024
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7.6. Convolutional Neural Networks (LeNet) — Dive into Deep Learning 1.0.3 documentation

7.6. Convolutional Neural Networks (LeNet) — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-neural-networks/lenet.html
Last glasped on Feb 12, 2024
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8.1. Deep Convolutional Neural Networks (AlexNet) — Dive into Deep Learning 1.0.3 documentation

8.1. Deep Convolutional Neural Networks (AlexNet) — Dive into Deep Learning 1.0.3 documentation

d2l.ai/chapter_convolutional-modern/alexnet.html
Last glasped on Feb 12, 2024
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8.8. Designing Convolution Network Architectures — Dive into Deep Learning 1.0.0-beta0 documentation

8.8. Designing Convolution Network Architectures — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_convolutional-modern/cnn-design.html
Last glasped on Jun 7, 2023
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4.2. The Image Classification Dataset — Dive into Deep Learning 1.0.3 documentation

4.2. The Image Classification Dataset — Dive into Deep Learning 1.0.3 documentation

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9.2. Converting Raw Text into Sequence Data — Dive into Deep Learning 1.0.0-beta0 documentation

9.2. Converting Raw Text into Sequence Data — Dive into Deep Learning 1.0.0-beta0 documentation

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14.8. Region-based CNNs (R-CNNs) — Dive into Deep Learning 1.0.0-beta0 documentation

14.8. Region-based CNNs (R-CNNs) — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/rcnn.html
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15.3. The Dataset for Pretraining Word Embeddings — Dive into Deep Learning 1.0.0-beta0 documentation

15.3. The Dataset for Pretraining Word Embeddings — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_natural-language-processing-pretraining/word-embedding-dataset.html
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16.3. Sentiment Analysis: Using Convolutional Neural Networks — Dive into Deep Learning 1.0.0-beta0 documentation

16.3. Sentiment Analysis: Using Convolutional Neural Networks — Dive into Deep Learning 1.0.0-beta0 documentation

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15.7. Word Similarity and Analogy — Dive into Deep Learning 1.0.0-beta0 documentation

15.7. Word Similarity and Analogy — Dive into Deep Learning 1.0.0-beta0 documentation

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16.5. Natural Language Inference: Using Attention — Dive into Deep Learning 1.0.0-beta0 documentation

16.5. Natural Language Inference: Using Attention — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_natural-language-processing-applications/natural-language-inference-attention.html
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15.5. Word Embedding with Global Vectors (GloVe) — Dive into Deep Learning 1.0.0-beta0 documentation

15.5. Word Embedding with Global Vectors (GloVe) — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_natural-language-processing-pretraining/glove.html
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14.14. Dog Breed Identification (ImageNet Dogs) on Kaggle — Dive into Deep Learning 1.0.0-beta0 documentation

14.14. Dog Breed Identification (ImageNet Dogs) on Kaggle — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computer-vision/kaggle-dog.html
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16.4. Natural Language Inference and the Dataset — Dive into Deep Learning 1.0.0-beta0 documentation

16.4. Natural Language Inference and the Dataset — Dive into Deep Learning 1.0.0-beta0 documentation

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13.3. Automatic Parallelism — Dive into Deep Learning 1.0.0-beta0 documentation

13.3. Automatic Parallelism — Dive into Deep Learning 1.0.0-beta0 documentation

d2l.ai/chapter_computational-performance/auto-parallelism.html
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