Deep Learning Reads

A Lightweight CNN Integrated Compact Convolutional Transformer for Multi-Scale Feature Learning and reducing computational complexity for breast cancer mammography image detection and classification

Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning

Silent Broadcasting Can Ruin Your Model

AlexNet: The CNN That Changed Computer Vision

FairLint-DL: An IDE-Native Tool for Fairness Debugging of Deep Learning Software

Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend

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

Geometric Flow enhanced Graph Coarsening

[P] Wine synthesis using VAE [P]

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

Three Gemma 4 Deployments on One T4G for Under $3: What the Runtime Changes, and What It Doesn't

Three Gemma 4 Deployments on One T4G for Under $3: What the Runtime Changes, and What It Doesn't

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…

Frequency Selective Neural Networks as a Foundation Architecture for Time Series Learning