

#1216
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 

as a book he wrote.


Jon Krohn

119 snips
885: Python Polars: The Definitive Guide, with Jeroen Janssens and Thijs Nieuwdorp
Mentioned by 

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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70 snips
#166 - new AI song generator, Microsoft's GPT4 efforts, AlphaFold3, xLSTM, OpenAI Model Spec
Mentioned by 

as the author of a best-selling book and host of the Super Data Science Podcast.


Andrey Kurenkov

62 snips
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Mentioned by 

as a really good book.


Andrey Kurenkov

61 snips
#157 - Gemini controversy, new Mistral models, Deepmind's Genie & Griffinn, AI Warfare is here
Mentioned by 

as the author of a bestselling book, Deep Learning Illustrated.


Andrey Kurenkov

51 snips
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Mentioned by 

as a resource for learning deep learning.


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50 snips
837: Career Success in the AI Era, with Deepali Vyas
Mentioned by 

as a number one bestseller he wrote.


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44 snips
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Mentioned by 

as a book written by Joan Krohn.


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38 snips
#145 - OpenAI’s Q*, Claude 2.1, Stable Video Diffusion, Starling-7B, Orca 2, international agreements
Mentioned by 

as the author of the best-selling book, "Deep Learning Illustrated"


Andrey Kurenkov

37 snips
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Mentioned by John Crone in the introduction of the Super Data Science Podcast.

35 snips
#161 - Claude 3 beats GPT-4, Stability CEO resigns, DBRX, TacticAI, UN resolution on AI
Mentioned by 

as the author of a bestselling book, Deep Learning Illustrated.


Andrey Kurenkov

35 snips
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Recommended by ![undefined]()

as the right way to explain deep learning.

Jeremie Harris

32 snips
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Mentioned by John Crump when discussing his work and the Super Data Science Podcast.

29 snips
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Mentioned by John Crone in the podcast introduction as his authored book.

24 snips
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as the most listened to data science podcast, covering machine learning, AI, and data careers.


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24 snips
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Mentioned by 

as a best-selling book he authored.


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19 snips
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Mentioned by Bella Shing during the introduction of 

as the author of a bestselling book.


Jon Krohn

17 snips
838: Consciousness and Machines, with Jennifer K. Hill
Mentioned by 

while discussing the Super Data Science podcast.


Andrey Kurenkov

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Mentioned by 

as his book, highlighting his expertise in deep learning.


Jon Krohn

467: High-Impact Data Science Made Easy
Mentioned by 

, his book on deep learning.


Jon Krohn

457: Landing Your Data Science Dream Job