Data Science Dojo

The Jupyter notebook samples provide insights into various aspects of deep learning using PyTorch. Covering fundamentals like linear regression, multilayer perceptrons, regularization, and computational graphs, as well as core techniques like convolutional and recurrent neural networks, attention mechanisms, optimization algorithms, and applications in computer vision and natural language processing.