Deep Learning Examples with PyTorch and fastai A Developers Cookbook

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