Neural Networks - a full course

The product consists of ten e-books as plain PDF documents that correspond to my videos on YouTube with the same names as below. It is basically copies of the manuscripts for making the videos, including the same pictures and text as shown in the video. Note that it does not, unfortunately, work well to copy the code directly into R or Python.

• How do AI and neural networks work?
• Artificial neural networks (ANN) - explained super simple
• Multinomial logistic regression | softmax regression | explained
• Neural networks with continuous output | ANN vs Regression
• Stochastic gradient descent (SGD) vs mini-batch GD | iterations vs epochs - Explained
• Deep learning - explained simply | Early Stopping & Dropout
• A Beginner's Guide to Artificial Neural Networks in Python with Keras and TensorFlow
• Recurrent neural network (RNN) - explained super simple
• Convolutional Neural Network (CNN) – explained simply
• Autoencoders - simply explained