Hands-on deep learning labs using PyTorch for model building, training, optimization, and experiment
What You'll Learn
- Build neural models using nn.Module
- Train, evaluate, and optimize networks
- Use DataLoader, custom datasets, and transforms
- Implement CNNs and deeper architectures
- Apply training techniques like schedulers and regularization
Requirements
- Python knowledge
- understanding of neural network
Earn Your Certificate
Showcase your skills with a certificate! Complete the course, submit your project, and earn your certificate. Here's a sample of what you'll receive to show off your accomplishments.
Course Curriculum
4 Chapters
20 Lectures
51h 51m 41s
1. PyTorch Basics & Foundations
5 Lectures|1 Assignment|1 Quiz|12h 40m
1. Introduction to PyTorch & Ecosystem
2. Tensors, Operations & GPU Acceleration
3. Autograd & Computational Graphs
4. PyTorch Architecture Overview
5. Writing Your First PyTorch Script
6. Lesson 1
7. File hierarchy
8. PyTorch Starter Handbook
2. Building Neural Networks with nn.Module
5 Lectures|1 Assignment|13h 56m 54s
3. Training Pipelines, Datasets & CNNs
5 Lectures|1 Assignment|1 Quiz|16h 1m 47s
4. Optimization, Schedulers & End-to-End Projects
5 Lectures|9h 13m
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$49.00
Course Includes
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