Understanding Deep Learning

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Learning From First Principles: The Architecture of Deep Understanding

Brain-centric Design: The Surprising Neuroscience Behind Learning with Deep Understanding

Leveraging Deep Learning: Strategies and Tools for Assessment of Conceptual Understanding (Concepts in Action)