This tutorial series on Deep Learning guides you through building powerful neural network models using TensorFlow and PyTorch. It explores key topics like CNNs, RNNs, attention mechanisms, and transformers, with hands-on projects in computer vision and NLP.
Perfect for learners aiming to deepen their deep learning skills, this project offers modular codebases, annotated notebooks, and practical examples to help you build, train, and evaluate deep learning models effectively for real-world applications.