Deep Learning Foundations
Fundamental concepts and architectures in deep learning.
Implementing a CNN from Scratch: MNIST Digit Classification
Published on:December 10, 2024A hands-on tutorial implementing a Convolutional Neural Network from scratch using PyTorch, with detailed explanation of convolution, pooling, and backpropagation.
Gradient Descent Optimization: From SGD to Adam
Published on:December 5, 2024A comprehensive exploration of gradient descent optimization algorithms, comparing SGD, Momentum, RMSprop, and Adam with mathematical insights and practical implementations.
Understanding Transformer Architecture: A Deep Dive into Attention Mechanisms
Published on:December 15, 2024A comprehensive analysis of the Transformer architecture, exploring self-attention mechanisms, positional encoding, and their impact on modern NLP.