LESSON 0 Getting Started
- Concept:What is AI?
- Code:Getting Setup
- Project:Learning PyTorch
LESSON 1 Neural Network Basics
- Concept:What is Neural Network?
- Code:Building Your First Neural Network with PyTorch
- Project:Experimenting with Neural Networks
LESSON 2 Using Real World Data
- Concept:Using Real World Data
- Code:Predict House Prices
- Project:Neural Networks with Real Data
LESSON 3 Activations and Loss Functions
- Concept:Activations and Loss Functions
- Code:Classification Neural Network
- Project:More Classification Networks
LESSON 4 Categorical Data with Embeddings
- Concept:Categorical Data and Embeddings
- Code:Combining Numerical and Categorical Data
- Project:Better Accuracy with Categorical Data
LESSON 5 Loss Functions and Optimizers
- Concept:Different Optimizers and Loss Functions
- Code:Changing Loss Functions and Optimizers
- Project:Using Different Optimizers and Learning Rates
LESSON 6 Regularization and Overfitting
- Concept:Using Regularization to Reduce Overfitting
- Code:Adding Regularization to a Neural Network
- Project:Regularization Techniques
Upcoming Video Schedule
August
Working with Images and CNNs
Working with Sequences and RNNs
Transfer Learning
Generative Models / GANs
Deploying to Production