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13min chapter
Jeremy Howard on Kaggle, Enlitic, and fast.ai
The Gradient: Perspectives on AI
Democratizing AI Learning and Deep Learning in Medicine
The chapter explores the democratization of AI learning through platforms like CoLab and Kaggle before transitioning into the application of deep learning in medicine. It covers the challenges and advancements in neural nets and computer vision within the healthcare sector, highlighting the evolution from early research to widespread adoption in the 2010s. The speakers discuss the shift from C++ to GPU accelerated libraries for optimization work, address data accessibility challenges in medical research, and touch on the impact of deep learning in areas like NLP and histopathology.
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