Deep Learning Examples with PyTorch and fastai: A Developers' Cookbook

By Dr. Bernhard J. Mayr MBA

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

Computer Vision: Image Classification, Object Detection / TrackingNatural 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 ScratchHow does SGD - Stochastic Gradient Descent - work?Multi-Label ClassificationCross-Fold-ValidationFastAI - A Glance on the internal API of the deep learning frameworkImage SegmentationStyle-TransferServer deployment of deep learning modelsKeypoints DetectionObject DetectionSuper-resolution GANsSiamese TwinsTabular Data with FastAIEnsembling Models with TabularDataAnalyzing Neural Nets with the SHAP LibraryIntroduction to Natural Language Processing

• Format: Paperback
• Language: English
• ISBN: B08KG9HZ85
• ISBN13: 9798689431499
• Release Date: September 2020
• Publisher: Independently Published
• Length: 342 Pages
• Weight: 1.20 lbs.
• Dimensions: 0.7" x 6.7" x 9.6"