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How to Use Hostile Neural Networks in Minecraft

33.2K views
•
August 1, 2023
by
Onlydraven Gaming
YouTube video player
How to Use Hostile Neural Networks in Minecraft

TL;DR

To use the Hostile Neural Networks mod in Minecraft, you'll need to craft a Deep Learner, Model Framework, Prediction Matrixes, Simulation Chamber, and Loot Fabricator. This mod allows players to create data models of mobs to automate resource gathering through simulations, significantly easing item generation without manual hunting. The goal is to level up data models for better predictions and materials.

Transcript

foreign only Draven here again and today we're doing another tutorial in Minecraft all the mods eight today we're going to be doing an introduction to the Hostile neural networks mod now if you're familiar with the Deep mob learning mod uh this one's pretty much the same thing but updated so it works a little bit differently than deep mob learning ... Read More

Key Insights

  • 🚗 The Hostile Neural Networks mod enhances Minecraft gameplay by simplifying the process of data modeling and item generation from mobs.
  • 🥶 Players can efficiently gather resources through simulations without extensively hunting mobs, freeing up time for other activities in the game.
  • 🚗 Understanding the different mob data models and their respective predictions is essential for maximizing the utility of the loot fabricator.
  • 🎮 Transitioning data models through gameplay leads to more significant rewards, encouraging ongoing engagement and exploration of the game mechanics.
  • 🎮 Automation through item pipes yields a more sophisticated gameplay experience, highlighting the intersection of crafting and technology in Minecraft.
  • 🪜 The incorporation of visual elements, such as holograms in data models, adds an engaging layer of interaction for players exploring the mod.
  • 🎮 The tutorial suggests thorough preparation with resources before diving into using the mod to ensure a smoother gameplay experience.

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Questions & Answers

Q: What is the primary difference between the Hostile Neural Networks mod and the Deep Mob Learning mod?

While both mods serve similar functions in gathering data from mobs, Hostile Neural Networks introduces changes to the mechanics and user interface, making it more streamlined and efficient. For instance, the method of creating data models has been simplified, requiring only a right-click with the model framework instead of multiple crafting recipes.

Q: How do players start using the Hostile Neural Networks mod effectively?

To begin using the mod, players need to gather the necessary materials to craft a deep learner, model framework, prediction matrices, simulation chamber, and loot fabricator. Initial setup requires crafting and accumulating components, after which players can start creating and leveling up their data models through mob interactions and simulations.

Q: Can the loot fabricator produce any item in Minecraft?

No, the loot fabricator produces specific items based on the predictions received from different mobs. Each prediction corresponds to a unique set of items, allowing players to convert a single prediction into various useful resources. This feature assists in automating resource collection for harder-to-find items.

Q: What are the different types of predictions that can be generated, and what are they used for?

Predictions are categorized as generalized predictions for various dimensions, including Overworld, Nether, Ender, and Twilight. These predictions can be used to create resources essential for crafting, such as arrows, bones, and magical items. Each mob will yield predictions relevant to its environment, facilitating targeted item generation.

Q: How does the leveling of data models work?

Data models start at a "faulty" tier and can be increased to "basic" by killing a specific number of corresponding mobs while holding a deep learner with the data model. As players progress, models can advance to higher tiers (like advanced, superior, or self-aware) through continued usage of the simulation chamber, requiring various levels of data to be collected.

Q: Is it possible to automate the resource-gathering process in this mod?

Yes, automation can be achieved by connecting prediction matrices to the simulation chamber and using item pipes to manage the input and output of resources. This setup allows players to maintain a continuous production of items without needing to manually intervene, significantly streamlining the resource collection process.

Q: What advice does the tutorial provide for managing power consumption in the mod?

The tutorial emphasizes that machines in the Hostile Neural Networks mod are power-intensive, recommending a reliable RF power source such as generators or solar panels. Players should ensure adequate power supply management to keep their machines operational while considering the energy needs for their automated processes.

Summary & Key Takeaways

  • The tutorial explains how to start with the Hostile Neural Networks mod in Minecraft, detailing necessary items and their crafting methods.

  • Players must create data models of various mobs by using a model framework to obtain valuable predictions for resource crafting.

  • The mod allows automation of resource gathering through simulations, making it easier to obtain materials without manually hunting mobs.


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