Deep Learning Examples with PyTorch and fastai

The concept of Deep Learning utilizes deep neural nets to accomplish task from artificial intelligence like:

Computer Vision: Image Classification, Object Detection / Tracking
Natural Language Understanding: Text Analyses, Language Translation, Image Caption Generation...
...

The Book Deep Learning Examples with PyTorch and fastai - A Developers' Cookbook is full of practical examples on how to apply the deep learning frameworks PyTorch and fastai on different problems.What's inside the book?

Build an Image Classifier from Scratch
How does SGD - Stochastic Gradient Descent - work?
Multi-Label Classification
Cross-Fold-Validation
FastAI - A Glance on the internal API of the deep learning framework
Image Segmentation
Style-Transfer
Server deployment of deep learning models
Keypoints Detection
Object Detection
Super-resolution GANs
Siamese Twins
Tabular Data with FastAI
Ensembling Models with TabularData
Analyzing Neural Nets with the SHAP Library
Introduction to Natural Language Processing

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