PyTorch for Deep Learning and Computer Vision [Video]
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Free ChapterIntroduction
-
Getting Started
-
Intro to Tensors – PyTorch
-
Linear Regression – PyTorch
-
Perceptrons – PyTorch
-
Deep Neural Networks – PyTorch
-
Image Recognition – PyTorch
-
Convolutional Neural Networks – PyTorch
-
CIFAR 10 Classification – PyTorch
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Transfer Learning – PyTorch
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Style Transfer – PyTorch
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Appendix A - Python Crash Course
- Overview
- Anaconda Installation (Mac)
- Anaconda Installation Windows
- Jupyter Notebooks
- Arithmetic Operators
- Variables
- Numeric Data Types
- String
- Booleans
- Methods
- Lists
- Slicing
- Membership Operator
- Mutability
- Mutability II
- Common Functions & Methods
- Tuples
- Sets
- Dictionaries
- Compound Data Structures
- Part 1 – Outro
- Part 2 - Control Flow
- If, else
- elseif
- Complex Comparisons
- For Loops
- For Loops II
- While Loops
- Break
- Part 2 – Outro
- Part 3 – Functions
- Functions
- Scope
- Doc Strings
- Lambda and Higher Order Functions
- Part 3 – Outro
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Appendix B - NumPy Crash Course
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Appendix C - Softmax Explanation
About this
video
PyTorch has rapidly become one of the most transformative frameworks in the field of deep learning. Since its release, PyTorch has completely changed the landscape of the deep learning domain with its flexibility and has made building deep learning models easier. The development world offers some of the highest paying jobs in deep learning. In this exciting course, instructor Rayan Slim will help you learn and master deep learning with PyTorch. Having taught over 44,000 students, Rayan is a highly rated and experienced instructor who has followed a learning-by-doing style to create this course. You'll go from a beginner to deep learning expert with your instructor completing each step of the task with you. By the end of this course, you will have built state-of-the-art deep learning and Computer Vision applications with PyTorch. The projects built in this course will impress even the most senior developers and ensure you have hands-on skills that you can bring to any project or organization.
All the code and supporting files for this course are available at https://github.com/PacktPublishing/PyTorch-for-Deep-Learning-and-Computer-Vision
- Publication date:
- April 2019
- Publisher
- Packt
- Duration
- 12 hours 32 minutes
- ISBN
- 9781838822804