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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



SaleBestseller No. 1
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
  • Howard, Jeremy (Author)
  • English (Publication Language)
  • 582 Pages - 08/04/2020 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 2
Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
  • Pointer, Ian (Author)
  • English (Publication Language)
  • 220 Pages - 10/08/2019 (Publication Date) - O'Reilly Media (Publisher)
SaleBestseller No. 3
Deep Learning with PyTorch
  • Stevens, Eli (Author)
  • English (Publication Language)
  • 450 Pages - 06/09/2020 (Publication Date) - Manning Publications (Publisher)
SaleBestseller No. 4
Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning
  • Rao, Delip (Author)
  • English (Publication Language)
  • 256 Pages - 02/19/2019 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 5
PyTorch Computer Vision Cookbook: Over 70 recipes to master the art of computer vision with deep learning and PyTorch 1.x
  • Amazon Kindle Edition
  • Avendi, Michael (Author)
  • English (Publication Language)
  • 364 Pages - 03/20/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 6
Make Your First GAN With PyTorch
  • Rashid, Tariq (Author)
  • English (Publication Language)
  • 207 Pages - 03/14/2020 (Publication Date) - Independently published (Publisher)
SaleBestseller No. 7
Deep Learning with Python
  • Chollet, Fran├žois (Author)
  • English (Publication Language)
  • 384 Pages - 12/22/2017 (Publication Date) - Manning Publications (Publisher)
Bestseller No. 8
Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more, 2nd Edition
  • Lapan, Maxim (Author)
  • English (Publication Language)
  • 826 Pages - 01/31/2020 (Publication Date) - Packt Publishing (Publisher)
SaleBestseller No. 9
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch
  • Alla, Sridhar (Author)
  • English (Publication Language)
  • 416 Pages - 10/11/2019 (Publication Date) - Apress (Publisher)
SaleBestseller No. 10
PyTorch Recipes: A Problem-Solution Approach
  • Mishra, Pradeepta (Author)
  • English (Publication Language)
  • 204 Pages - 01/28/2019 (Publication Date) - Apress (Publisher)