Neural Networks With Python Second Edition Explore Transformers ViTs Diffusion KANs And SSMs Using Python NumPy ( GitforGits)

Neural Networks With Python Second Edition Explore Transformers ViTs Diffusion KANs And SSMs Using Python NumPy ( GitforGits)

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[color=#55acee]🌐 Language: English

[color=#ff9900]📋 INFO: English | July 18, 2026 | ASIN: B0H9F7CVT4 | 261 pages | EPUB | 3.67 MB

[color=#888888]📝 DESCRIPTION: This book is the modern neural networks foundation, and it’s taught the way it should be.The way neural networks function has changed, of course, and this second edition has to change too. It’s all rebuilt around the latest versions of Python 3.14, NumPy 2.0 and PyTorch 2.0, so it’ll be the only framework you’ll need to get up to speed quickly. The likes of TensorFlow, Keras, RNNs, GANs and capsule networks are now a thing of the past. Now, the big players in the AI world are convolutional networks, attention and transformers, vision transformers, Kolmogorov-Arnold networks, state space models, diffusion transformers and multimodal language models. This book is all about building a single application using the same data, training it using a single pipeline. That way, you can compare it directly with other applications and see how it really compares. It’s all done by hand in NumPy, then rebuilt in PyTorch, so nothing stays a black box.This book is written for data scientists and AI engineers who want depth without the dependency bloat, keeping its toolkit to five libraries and its focus on understanding.

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Folder: Neural Networks With Python Second Edition Explore Transformers ViTs Diffusion KANs And SSMs Using Python NumPy
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Total Size: 3.68 MB

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📅 31-07-2026 | ⏰ 19:54 UTC

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📌 Neural Networks With Python Second Edition.epub ( GitforGits) (3.67 MB)

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