Deep neural networks topic
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
BiDiSentiment
Two-way deep RNN for sentiment classification.
bug-localization-by-dnn-and-rvsm
predicting the buggy source files from the bug reports.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
DeepNetworks
My implementations of deep neural networks for practice.
Android-TensorFlow-Lite-Example
Android TensorFlow Lite Machine Learning Example
breast-cancer-classification
Breast Cancer Classification using CNN and transfer learning
character-based-cnn
Implementation of character based convolutional neural network
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
3D-Reconstruction-with-Deep-Learning-Methods
List of projects for 3d reconstruction
dissertation
:mortar_board: :scroll: This repository holds my final year and dissertation project during my time at the University of Lincoln titled 'Deep Learning for Emotion Recognition in Cartoons'.