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 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

Introduction to TensorFlow for Machine Learning and Deep Learning

ML.NET and C# Machine Learning with TensorFlow Integration

Introduction to TensorFlow for Deep Learning and AI

Deep Learning MLOps with MLflow, PyTorch, and TensorFlow

Deep Learning and Model Deployment with PyTorch, ONNX, and TensorRT

Deep Learning with Python: From Theory to Practice

Deep Learning Fundamentals with Python

Essential Math for Deep Learning: Linear Algebra, Calculus, and Probability

Foundations of Deep Learning and Neural Networks

Deep Learning Essentials: DNN, CNN, and RNN

Practical Deep Learning Fundamentals

Deep Learning and Generative AI Fundamentals

Deep Learning Fundamentals: Essential Math and Neural Networks