

#3139
Mentioned in 19 episodes
Deep Learning Illustrated
Book • 2019
Deep Learning Illustrated is a comprehensive guide to deep learning, offering a unique visual and interactive approach.
It explains deep learning techniques through straightforward analogies, vivid illustrations, and hands-on Python code in Jupyter notebooks.
The book covers essential theory, including artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), and deep reinforcement learning.
It also focuses on practical applications such as machine vision, natural language processing, image generation, and game-playing algorithms, using libraries like Keras, TensorFlow, and PyTorch.
It explains deep learning techniques through straightforward analogies, vivid illustrations, and hands-on Python code in Jupyter notebooks.
The book covers essential theory, including artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), and deep reinforcement learning.
It also focuses on practical applications such as machine vision, natural language processing, image generation, and game-playing algorithms, using libraries like Keras, TensorFlow, and PyTorch.
Mentioned by
Mentioned in 19 episodes
Mentioned by
Jon Krohn as a book he authored, discussing the challenges of creating an audiobook version due to its illustrations, equations, and Python code.


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