Deep Learning
- Review of Machine Learning methods: Machine Learning Algorithms, Supervised Learning and Unsupervised learning algorithms. How to build Machine learning algorithms
- .Neurons and the human brain, the structure of neurons, an overview of natural neural networks
.Introduction of perceptron, single layer perceptron network
Introducing Deep feed forward networks
- perceptron-assisted classification problems, linear separation problems, Multi layer neural networks and backpropagation, solving classification and
regression problems
- learning rate and network power, regulation
methods in deep learning, convolutional neural networks, Recursive networks and deep recursive networks
- .deep belief networks
Auto-encoders and learning representation with their help. Boltzmann machine and the
,applications of deep learning in computer vision