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The Course is divided into 2 parts,
- Introduction to Deep Learning and Computer Vision
- Feed Forward Neural Networks
- Introduction to CNNs
- Optimization for training Deep neural networks
- Deep Neural Networks
- Tricks for Improving the Learning
- Introduction to DL packages/ Important architectures
- Visualizing CNNs
- Recurrent Neural Networks
- Generative Modelling using Deep networks
- Deep Reinforcement Learning
- Invited Talks from Researchers in Industry.