PickAClass · AI, Tech & Engineering · AI & Machine Learning

Deep Learning

Dive into the world of artificial neural networks. Learn to build, train, and optimize deep learning models for complex tasks using frameworks like TensorFlow and PyTorch.

Deep Learning

Deep Learning Foundations with PyTorch and fastai

Practical Deep Learning with PyTorch and fastai

Deep Learning for Programmers with PyTorch and fastai

Matrix Multiplication for Deep Learning with PyTorch

Mean Shift Clustering from Scratch with PyTorch

Backpropagation and Multi-Layer Perceptrons from Scratch

Neural Network Fundamentals: Mastering Backpropagation with PyTorch

Autoencoders with PyTorch and Fastai

Deep Learning Fundamentals with the Learner Framework

Deep Learning Weights: Initialization and Normalization in PyTorch

Deep Learning Optimization: Accelerated SGD and ResNets

Denoising Diffusion Probabilistic Models and Dropout from Scratch

Mixed Precision Training in PyTorch and fastai

Deep Dives into Generative AI: Understanding DDIM

Modern Diffusion Models: Demystifying the Karras Framework

Deep Learning for Image Super-Resolution with PyTorch and fastai

Deep Learning Fundamentals: Attention Mechanisms and Transformers