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.
slick-dnn
Tiny and elegant deep learning library
neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... t...
Awesome-3D-Object-Detection
Papers, code and datasets about deep learning for 3D Object Detection.
SoundNet-tensorflow
TensorFlow implementation of "SoundNet".
deep_learning_object_detection
A paper list of object detection using deep learning.
gorgonia
Gorgonia is a library that helps facilitate machine learning in Go.
openrec
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Super-SloMo
PyTorch implementation of Super SloMo by Jiang et al.
emotion-recognition-neural-networks
Emotion recognition using DNN with tensorflow
speech-emotion-recognition
Speaker independent emotion recognition