topics to be covered
topics to be covered
- Machine Learning Basics
- Deep Learning Frameworks
- Regularization for Deep Learning
- Optimization for Training Deep Models
- Convolutional Networks
- Recurrent Networks and Recursive Networks
- Autoencoders
- Boltzmann Machine
- Deep Belief Networks
- Deep Learning for Image Analysis
- Deep Learning for NLP & Text Analysis
- Hand-on sessions using Python and tools such as TensorFlow, Theano, Keras, etc.