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
Mastering the PyTorch Deep Learning Framework from Scratch: Essential Concepts and Practical Tips You Must Know
A comprehensive guide exploring Python programming features and its applications in web development and data science, combined with deep learning principles, neural network architecture, and practical implementations using TensorFlow and PyTorch frameworks across computer vision and natural language processing domains
