In this course, you will :
- Understand PyTorch and Deep Learning concepts.
- Build your neural network using Deep Learning techniques in PyTorch..
- Perform basic operations on your dataset using tensors and variables.
- Build artificial neural networks in Python with GPU acceleration.
- See how CNN works in PyTorch with a simple computer vision example.
- Train your RNN model from scratch for text generation.
- Use Auto Encoders in PyTorch to remove noise from images.
- Perform reinforcement learning to solve OpenAI's Cartpole task.
- Extend your knowledge of Deep Learning by using PyTorch to solve your own machine learning problems.