Machine Learning

Neural Network Perception and Backpropagation Concepts of Neural Networks Introduction, Neural network representation Perceptron Multi-Layer Perceptron (MLP) Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) back propagation algorithm and Remarks An illustrative example of face recognition Advanced topics in artificial neural networks Artificial Neural Networks Definition   Neural networks are a type of machine learning that uses interconnected nodes to simulate the function of a human brain to solve complex problems. 

Convolutional  and  Recurrent Neural Networks What is Deep Learning? Deep learning is a subset of machine learning that uses deep neural networks to extract complex features from data.  Introduction to Deep Learning Deep Neural Networks (DNN) Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Autoencoders Generative Adversarial Networks (GAN)