Automatic Differentiation Techniques in Deep Learning with Python: Understanding Computational Graphs and Backpropagation from Scratch
A comprehensive guide covering Python programming fundamentals and its advantages, combined with deep learning principles including neural network structures, CNN, RNN, and Transformer models, along with practical applications in image recognition and speech processing
