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You're reading from Deep Learning - Computer Vision for Beginners Using PyTorch Learn the basics of Computer Vision in PyTorch and Python with expert tips on convolutional neural network deep learning

Product type Video

Published in Mar 2023

Publisher Packt

ISBN-13 9781837634286

Length 7hrs 14mins

Edition 1st Edition

Languages

Python

Tools

PyTorch

Concepts

Computer Vision

Author (1):

Manifold AI Learning

View More author details

Table of Contents (12) Chapters

1. Welcome Aboard FREE CHAPTER

Course Introduction
Why Is PyTorch Powerful?

2. Introduction to PyTorch and Tensors

What Is PyTorch

3. Diving into PyTorch

Installing PyTorch
Create Tensors in PyTorch
Tensor Slicing and Reshape
Mathematical Operations on Tensors
NumPy in PyTorch
What Is CUDA
PyTorch on GPU

4. AutoGrad in PyTorch

AutoGrad in PyTorch
AutoGrad in a Loop

5. Creating Deep Neural Networks in PyTorch

Building the First Neural Network
Writing a Deep Neural Network
Writing a Custom NN Module

6. CNN in PyTorch

Data Loading - CIFAR10
Data Visualization
CNN Recap
First CNN
CNN Deep Layers

7. LeNet Architecture in PyTorch

LeNet Overview
LeNet Model in PyTorch
Preparation and Evaluation

8. Optional Learning - Python Basics

Why Learn Any Programming Language
Why Choose Python
Installing Jupyter Notebook
Jupyter Notebook - Tips and Tricks
What We Will Cover in This Section
Variables in Python
Print Function
Numerical Data Types and Arithmetic Operations in Python
String Data Type
Boolean Data Type
Type Conversion and Type Casting
Adding Comments in Python Programming Language
Data Structures in Python
Tuples and Sets in Python
Python Dictionaries
Conditional Statements in Python - if
Conditional Statements in Python - While
Inbuilt Functions in Python - range and input
For Loops
Functions in Python
Classes in Python

9. Optional Learning - Mini Project with Python Basics

Mini Project - Hangman
Writing a Class
Mini Project - Continued
Logic Building
Logic for Single-Letter input
Final Testing

10. Optional Learning - Python for Data Science – with NumPy

NumPy
Resize and Reshape Arrays
Slicing
Broadcasting
Mathematical Operations and Functions in NumPy

11. Optional Learning - Python for Data Science – with Pandas

Pandas Library
Pandas Dataframe
Pandas Dataframe - Load from External File
Working with Null Values
Slicing Pandas Dataframe
Imputation

12. Optional Learning - Python for Data Science – with Matplotlib

Matplotlib Introduction
Format the Plot
Plot Formatting and Scatter Plot
Histplot

You're reading from Deep Learning - Computer Vision for Beginners Using PyTorch Learn the basics of Computer Vision in PyTorch and Python with expert tips on convolutional neural network deep learning

Table of Contents (12) Chapters

Authors (1)

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You're reading from Deep Learning - Computer Vision for Beginners Using PyTorch Learn the basics of Computer Vision in PyTorch and Python with expert tips on convolutional neural network deep learning

Table of Contents (12) Chapters

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