Deep learning network for traffic sign image classification
Coursera Deep Learning Course 4
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
Google TensorFlow project for classification using images or video input.
Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
Deep learning for pedestrians: backpropagation in CNNs. Latex and PyTorch code to verify theoretical derivations.
An attempt to solve the mystery behind deep learning models
An exploration of the best mechanisms to overcome small datasets when training Convolutional Neural Networks with Deep Learning.