Deep Learning Foundations
Fundamental concepts and architectures in deep learning.
Implementing a CNN from Scratch: MNIST Digit Classification
Posted on:December 10, 2024 at 02:30 PMA 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
Posted on:December 5, 2024 at 04:00 PMA 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
Posted on:December 15, 2024 at 10:00 AMA comprehensive analysis of the Transformer architecture, exploring self-attention mechanisms, positional encoding, and their impact on modern NLP.