

#8828
Mentioned in 6 episodes
Deep learning
How the Mind Overrides Experience
Book • 2011
In 'Deep Learning: How the Mind Overrides Experience,' Stellan Ohlsson delves into the concept of non-monotonic learning, where the mind can override previous experiences to adapt and learn.
The book is a significant contribution to cognitive psychology, highlighting the complexities of human learning and problem-solving processes.
The book is a significant contribution to cognitive psychology, highlighting the complexities of human learning and problem-solving processes.
Mentioned by














Mentioned in 6 episodes
Mentioned by 

when discussing his work with Jeff Hinton and Yann LeCun and the development of deep learning.


Yoshua Bengio

1,702 snips
Creator of AI: We Have 2 Years Before Everything Changes! These Jobs Won't Exist in 24 Months!
Mentioned by 

when discussing the role of depth in deep learning models.


Tim Scarfe

55 snips
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
Mentioned by 

as the author of the popular textbook on deep learning.


Lex Fridman

36 snips
Ian Goodfellow: Generative Adversarial Networks (GANs)
Mencionado por ![undefined]()

como um bom livro de referência para revisar conceitos de deep learning.

Adrian Valentim

29 snips
236: O significado de inteligência na era dos LLMs, com Adrian Valentim
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when discussing a book used in his AI learning journey.

Zain Kahn

19 snips
5 Million Dollar AI Startup Ideas
Mentioned by 

as a resource on deeper learning, highlighting its relevance to parents.


Jenny Anderson

Supporting Disengaged Teens to Learn Better, Feel Better and Live Better - A Conversation with Jenny Anderson and Rebecca Winthrop
Mentioned by 

as the "bible" for deep learning, focusing on mathematics.


Jon Krohn

470: My Favorite Books
Mentioned by 

as an example of a technical book he read.


Itamar Friedman

Leveraging Technical Knowledge - Itamar Friedman - Qodo - Episode #37
Recommended by 

as a classic book to master advanced machine learning theory after having a firm grip on linear algebra, calculus, and probability theory.


Jon Krohn

446: Getting Started in Machine Learning
Recommended as a comprehensive resource for deep learning.

Celebrating episode 50 and the neural net!



