Neural Networks & Deep Learning
Master neural networks from the ground up — including feedforward networks, CNNs, RNNs, training techniques, regularization, and applied deep learning in sports analytics and betting models.
9 chapters across 3 books
Neural Networks from Scratch
AI Engineering
Training Deep Networks
AI Engineering
Regularization & Generalization
AI Engineering
Convolutional Neural Networks
AI Engineering
Recurrent Neural Networks
AI Engineering
Autoencoders & Representation Learning
AI Engineering
Generative Adversarial Networks
AI Engineering
Neural Networks for Betting
Sports Betting
Deep Learning for Soccer
Soccer Analytics
Explore More Topics
Browse other topic collections
Machine Learning 15 chapters Python for Data Science 7 chapters Probability & Statistics 10 chapters Sports Betting Analytics 16 chapters Natural Language Processing (NLP) 10 chapters Data Visualization 9 chapters Sports Analytics 14 chapters Predictive Modeling & Forecasting 17 chapters Computer Vision 8 chapters