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In this course, you will learn:-
- Machine Learning and Deep Learning are introduced.
- Tensors and Gradients in PyTorch.
- PyTorch's Linear Regression.
- In PyTorch, you may work with image data.
- Convolutional Neural Networks are used to classify images.
- Data Augmentation and Regularization Techniques, Residual Networks
- Adverserial Adversarial Networks (GANs) are a type of adversarial network
Syllabus:-
- Introduction and Reference Material
- PyTorch Basics and Linear Regression
- Further Reading
- Introduction to Kaggle
- Introduction to the Boston Housing Competition
