Deep learning

Neural Network Basics

Neural Network Basics

Activation Functions

Network Architecture

Loss Functions

Training Deep Networks

Gradient Optimization

Backpropagation

Training Configuration

Regularization Techniques

Training Stability

Model Evaluation

Evaluation and Selection

Transfer Learning

Advanced Training Methods

CNN and RNN

Convolution Operations

CNN Architectures

RNN Fundamentals

Advanced RNN

Transformers

Attention Mechanism

Transformer Architecture

Foundation Models

Transformer Efficiency

Generative Models

Autoencoders and VAEs

GAN Fundamentals

GAN Training

Diffusion Models

NLP Applications

NLP Text Processing

Text Classification

Language Generation

Computer Vision

Object Detection

Image Segmentation

Image Generation

Face Recognition

Specialized Architectures

Graph Neural Networks

Reinforcement Learning

Deep RL Algorithms

Advanced Learning

Self-Supervised Learning

Model Compression

Large Model Training

Production Deep Learning

GPU Computing

Scalable Training

Model Deployment

Explainability