Machine Learning:
1. Naive bayees.
2. Svm.
3. Decission trees.
4. Neural networks reinforcement learning
5. Bayesian networks deep learning
Deep Learning:
- perceptron
- multi layer perceptron
- feed forward neural network
- backpropagation
- convolution neural network
- recurrent neural network
- backpropagation through time
- long short term memories
- GRU
- GANS
- Auto encoders
tools -python language and keras and tensorflow libraries
projects :
1.artistic style transfer using neural networks .
2.image classification using neural networks .
3 sentiment analysis using rnn
4. image generation using GANS
