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Best PyTorch Courses & Tutorials 2019

 

Practical Deep Learning with PyTorch


Practical Deep Learning with PyTorch by Deep Learning Wizard will help you learn deep learning with PyTorch. You will learn to effectively use PyTorch, a Python based framework used to build Deep Learning projects. This PyTorch course uses more than 100 custom-made diagrams that clearly explain the transition from one model to another and understand the models comprehensively. This is a practical PyTorch course that teaches by doing. You will follow along the PyTorch code in detail. By the end, you will master Deep Learning concepts and implement them in PyTorch. This is one of the best PyTorch courses in 2019.

 

Modern Deep Convolutional Neural Networks with PyTorch


Modern Deep Convolutional Neural Networks with PyTorch by Denis Volkhonskiy will help you learn PyTorch for Image Recognition with Convolutional Neural Networks. You will get a refresher on Linear layers, SGD, and how to train Deep Networks. Then you will move to the Convolution section, where convolutions is discussed along with it’s parameters, advantages and disadvantages. The PyTorch training will teach you Regularization and normalization along with Deep Learning tips and tricks. You will learn about fine tuning, transfer learning, modern datasets and architectures. This is one of the best PyTorch tutorials in 2019.

 

PyTorch for Deep Learning with Python Bootcamp


PyTorch for Deep Learning with Python Bootcamp by Jose Portilla will help you get started with learning PyTorch. PyTorch is an open source deep learning platform. This PyTorch course focuses on balancing important theory concepts with practical hands-on exercises and projects. You will learn how to apply the concepts to your own data sets. This PyTorch course will help you learn how to use NumPy to format data into arrays. Pandas is used data manipulation and cleaning. You will learn classic machine learning theory principles. You will make use of PyTorch Deep Learning Library for image classification and Recurrent Neural Networks for Sequence Time Series Data. This course will teach you to create state of the art Deep Learning models to work with tabular data. This is one of the best PyTorch courses for Deep Learning in 2019.

 

Best PyTorch Books 2019

 

Bestsellers

SaleBestseller No. 1
Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning
  • Delip Rao, Brian McMahan
  • Publisher: O'Reilly Media
  • Edition no. 1 (02/19/2019)
  • Paperback: 256 pages
SaleBestseller No. 3
Deep Learning (Adaptive Computation and Machine Learning series)
  • deep learning adaptive computation and machine learning series
  • deep learning adaptive computation and machine learning
  • Ian Goodfellow, Yoshua Bengio, Aaron Courville
  • Publisher: The MIT Press
  • Hardcover: 800 pages
Bestseller No. 4
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
  • Ankur A. Patel
  • O'Reilly Media
  • Kindle Edition
  • Edition no. 1 (02/21/2019)
  • English
Bestseller No. 5
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
  • Sylvain Gugger, Jeremy Howard
  • Publisher: O'Reilly Media
  • Edition no. 1 (07/14/2020)
  • Paperback: 350 pages
SaleBestseller No. 6
Deep Learning with Python
  • Francois Chollet
  • Publisher: Manning Publications
  • Edition no. 1 (12/22/2017)
  • Paperback: 384 pages
Bestseller No. 7
Deep Learning with PyTorch
  • Eli Stevens, Luca Antiga
  • Publisher: Manning Publications
  • Edition no. 1 (02/11/2020)
  • Paperback: 450 pages
SaleBestseller No. 8
PyTorch Recipes: A Problem-Solution Approach
  • Pradeepta Mishra
  • Publisher: Apress
  • Edition no. 1 (01/28/2019)
  • Paperback: 204 pages

Last update on 2019-10-09 / Affiliate links / Images from Amazon Product Advertising API

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