Lezione II Koroliouk - Introduction into Neural Networks and Deep Learnig

Lecture 2. Neural networks. General principles
Neural network training. Backpropagation of an error. Gradient descent method and its generalizations.
Epochs and batches. Introduction to Keras and TensorFlow. Initialization of neural network weights.
Data standardization prevents saturation. Training a feedforward neural network. Optimization (optimizers) in Keras. Formulas for weight corrections when training a neural network. An example of training a neural network.