This repository provides practical code examples and tutorials for learning TensorFlow 2.x for deep learning applications. It covers fundamental neural network architectures such as CNNs for image tasks, RNNs for sequences, and generative models like GANs and Auto-Encoders. The examples also include modern transformer architectures like BERT and GPT, along with object detection models like Faster R-CNN.