Deep learning for coders with fastai and PyTorch : AI applications without a PhD
Material type: TextPublication details: Beijng : O'Reilly, ©2023Description: 594 p. : col. ill. ; 23 cmISBN:- 9789355424273
- 005.133 HOW-D
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | IIITD General Stacks | Computer Science and Engineering | 005.133 HOW-D (Browse shelf(Opens below)) | Available | 012935 |
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.
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