Articles

AlexNet: The CNN That Changed Computer Vision

A PM’s Guide to Setting Up Windows 11 for Deep Learning

The Unreasonable Effectiveness of Recurrent Neural Networks

What is an activation function and why without it neural networks would be completely useless

What is an activation function and why without it neural networks would be completely useless

Deep Learning Specialization — Master AI & Neural Networks

Diffusion Beat GANs in 2021. GAN Loss Is in Stable Diffusion

Recurrent Neural Networks (RNNs) for Natural Language Processing

I Went Back to 2012 to Build AlexNet From Scratch

Detecting Rice Leaf Diseases with Deep Learning

Pytorch Mastery Series 01: Tensor Shapes, Strides and Layouts

Train Neural Networks without Draining your Pocket: Customizing Data Policy in Model Architecture…

GitHub - rickey1990/novel-rnn-architectures: Novel types of Recurrent Neural Networks (RNNs). Includes the core mathematical framework PDF and executable source code.

Teaching a Neural Network to Recognize Natural Scenes: From a Custom CNN to Explainable Transfer…

Transfer learning (CNN to transformer)

Convolution Explained: How a Tiny Matrix Finds Patterns in an Image

The Most Complete PyTorch Tutorial You’ve Seen

I Built a Neural Network With Multiple Memory Paths. Here’s What Happened.

Train Neural Networks without Draining your Pocket: Customizing Data Policy in Model Architecture…

Train Neural Networks without Draining your Pocket: Customizing Data Policy in Model Architecture…

“Auxiliary-Loss-Free” MoE Routing Still Has a Balancing Mechanism

Trained a neural net to reconstruct Bad Apple in real-time.

Activation Functions in Neural Networks: The Concept That Finally Clicked for Me

microGPT-C: A GPT Written in Pure C That Trains in Seconds