Neural Networks
Deep dive into batch normalization, the technique that revolutionized neural network training by solving internal covariate shift. Essential knowledge for building stable AI models including video generators and deepfake systems.
deep learning
Deep dive into the technical foundations of training neural networks, covering backpropagation, gradient descent, optimization algorithms, and the mathematical principles that power modern AI systems from video generation to deepfakes.
Neural Networks
Deep dive into activation functions, the mathematical components that enable neural networks to learn complex patterns. Explores ReLU, sigmoid, tanh, and modern variants with technical implementation details.