Deep Learning with PyTorch – Vishnu Subramanian

PyTorch is grabbing the attention of data science professionals and deep learning practitioners due to its flexibility and ease of use. This book introduces the fundamental building blocks of deep learning and PyTorch. It demonstrates how to solve real-world problems using a practical approach. You will also learn some of the modern architectures and techniques that are used to crack some cutting- edge research problems.

This book provides the intuition behind various state-of-the-art deep learning architectures, such as ResNet, DenseNet, Inception, and Seq2Seq, without diving deep into the math. It also shows how to do transfer learning, how to speed up transfer learning using pre-computed features, and how to do text classification using embeddings, pretrained embeddings, LSTM, and one-dimensional convolutions.

By the end of the book, you will be a proficient deep learning practitioner who will be able to solve some business problems using the different techniques learned here.

Related posts:

Python Data Structures and Algorithms - Benjamin Baka
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Machine Learning Eqution Reference - Sebastian Raschka
Amazon Machine Learning Developer Guild Version Latest
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
An introduction to neural networks - Kevin Gurney & University of Sheffield
Java Deep Learning Essentials - Yusuke Sugomori
Medical Image Segmentation Using Artificial Neural Networks
Pattern recognition and machine learning - Christopher M.Bishop
Deep Learning for Natural Language Processing - Jason Brownlee
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning with Hadoop - Dipayan Dev
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Introduction to the Math of Neural Networks - Jeff Heaton
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Data Science and Big Data Analytics - EMC Education Services
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke