Pytorch For Deep Learning Bootcamp: Zero To Mastery

Pytorch For Deep Learning Bootcamp: Zero To Mastery
Published 3/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

Learn How to Use PyTorch (Facebook Library) for Deep Learning with Practical Examples

What you’ll learn

Understand the basic concepts about neural network and how it works

Use PyTorch for Linear Regression using Multilayer Perceptron (MLP)

Learn how to work with different data types such as tensors and arrays

Use PyTorch for image classification using Convolutional Neural Network (CNN)

Use PyTorch for time series prediction using Recurrent Neural Network (RNN)

Use PyTorch for Natural Language Processing (NLP)

Requirements

Understanding basic Python topics (Function, for loop, etc.)

Knowing the basics of OOP is recommended

Description

Overview

Section 1: Course Introduction & Overview

Lecture 1 Course Content

Lecture 2 Why Google Colab?

Lecture 3 Introduction to Colab Environment

Section 2: Useful Packages

Lecture 4 NumPy Basics

Lecture 5 Pandas Basics

Section 3: PyTorch Tensor Basics

Lecture 6 Introduction to Tensors

Lecture 7 Working with PyTorch Tensors

Section 4: Neural Network Basic Concepts

Lecture 8 Basic Terms About NN

Lecture 9 Activation Function

Lecture 10 How Neural Network Learn?

Lecture 11 Gradient Decent Optimization

Section 5: PyTorch for Multilayer Perceptron (MLP)

Section 7: PyTorch for Convolutional Neural Network (CNN)

Lecture 21 Introduction

Lecture 22 Convolutional Layer (Image Filter)

Lecture 23 Pooling Layer

Lecture 24 Flattening

Lecture 25 Conclusion

Section 8: Using GPU Instead of CPU

Lecture 30 Introduction to CPU & GPU

Lecture 31 Watch if You Don’t Use Colab!

Lecture 32 How to Use GPU?

Lecture 33 How to Save & Load a Model Using PyTorch

Section 9: PyTorch for Recurrent Neural Network

Lecture 34 Introduction to Recurrent Neural Network

Lecture 35 What is LSTM and How it Works?

beginner to advance python developers, data analysts, engineers and overall data science enthusiast want to learn about deep learning with PyTorch