Deep learning for coders with fastai and PyTorch : AI applications without a PhD

Howard, Jeremy

Deep learning for coders with fastai and PyTorch : AI applications without a PhD by Jeremy Howard and Sylvain Gugger - Beijng : O'Reilly, ©2023 - 594 p. : col. ill. ; 23 cm.

Includes index.

Part 1. Deep Learning Journey. Your Deep Learning Journey From Model to Production Data Ethics Part 2. Understanding fastai's Applications. Under the Hood: Training a Digit Classifier Image Classification Other Computer Vision Problems Training a State-of-the-Art Model Collaborative Filtering Deep Dive Tabular Modeling Deep Dive NLP Deep Dive: RNNs Data Munging with fastai's Mid-Level API Part 3. Foundations of Deep Learning. A Language Model from Scratch Convolutional Neural Networks ResNets Application Architectures Deep Dive The Training Process Part 4. Deep Learning from Scratch. A Neural Net from the Foundations CNN Interpretation with CAM A fastai Learner from Scratch Concluding Thoughts.

9789355424273


Artificial Intelligence
Computer Science Books

005.133 / HOW-D
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