Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Neural Networks with Python, Second Edition: Explore Transformers, ViTs, Diffusion, KANs, and SSMs using Python, NumPy and PyTorch

Neural Networks with Python, Second Edition: Explore Transformers, ViTs, Diffusion, KANs, and SSMs using Python, NumPy and PyTorch

Wong, Mei

Paperback

General Computers

Publisher Price: $69.99

ISBN10: 9349174499
ISBN13: 9789349174498
Publisher: Gitforgits
Published: Jul 15 2026
Pages: 170
Weight: 0.67
Height: 0.36 Width: 7.50 Depth: 9.25
Language: English
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.

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