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

By: Contributor(s): Material type: TextTextPublication details: Beijng : O'Reilly, ©2023Description: 594 p. : col. ill. ; 23 cmISBN:
  • 9789355424273
Subject(s): DDC classification:
  • 005.133  HOW-D
Contents:
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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Item type Current library Collection Call number Status Date due Barcode Item holds
Books Books IIITD General Stacks Computer Science and Engineering 005.133 HOW-D (Browse shelf(Opens below)) Available 012935
Total holds: 0

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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