IIRF Online > Development > Data Science > Deep Learning > Certificate in Deep Learning with PyTorch
Certificate in Deep Learning with PyTorch by Vskills
Course Highlights
- Government certification
- Certification valid for life
- Lifelong e-learning access
- Learning Hours: 12 hrs
- Life Time Job Support
- Job Profile Tagging
Skills you will learn!
Curriculum
9 Topics
The Course Overview
Introduction to PyTorch
Installing PyTorch on Linux and Windows
Installing CUDA
Introduction to Tensors and Variables
Working with PyTorch and NumPy
Working with PyTorch and GPU
Handling Datasets in PyTorch
Deep Learning Using PyTorch
6 Topics
Building a Simple Neural Network
Loss Functions in PyTorch
Optimizers in PyTorch
Training the Neural Network
Saving and Loading a Trained Neural Network
Training the Neural Network on a GPU
7 Topics
Computer Vision Motivation
Convolutional Neural Networks
The Convolution Operation
Concepts - Strides Padding and Pooling
Loading and Using MNIST Dataset
Building the Model
Training and Testing
5 Topics
Sequence Models Motivation
Word Embedding
Recurrent Neural Networks
Building a Text Generation Model in PyTorch
Training and Testing
5 Topics
Autoencoders Motivation
How Autoencoders Work
Types of Autoencoders
Building Denoising Autoencoder Using PyTorch
Training and Testing
7 Topics
Reinforcement Learning Motivation
Reinforcement Learning Concepts
DQN Experience Replay
The OpenAI Gym Environment
Building the Cartpole Agent Using DQN
Training and Testing
Module 2
3 Topics
The Course Overview
What Makes PyTorch Special?
Installing PyTorch
5 Topics
Problem: Detect a Specific Type of Object in an Image
Quick Win: Using a Pretrained AlexNet Model for Beaver Detection
Getting and Preparing Image Data
Building Training and Testing Your Model
Using Your Model to Detect Beavers and What’s Next?
4 Topics
Problem: Recognize the Language of a Specific Text
Understanding and Preparing Language Data
Building Training and Testing Your Model for Language Detection
Using Your Model to Detect Languages and What’s Next?
4 Topics
Problem: Translate a Specific Text from One Language to Another
Understanding and Preparing Dataset for Language Translation
Building Training and Testing Your Models for Language Translation
Using Your Models for Language Translation
3 Topics
Problem: Extract Key Style Features from One Image and Use It on Another One
Preparing Images for Style Transfer
Building and Training Style Transfer Model
Certificate in Deep Learning with PyTorch
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