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.
deep-atrous-ner
Deep-Atrous-CNN-NER: Word level model for Named Entity Recognition
PerceptualSimilarity
LPIPS metric. pip install lpips
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
wymlp
tiny fast portable real-time deep neural network for regression and classification within 50 LOC.
deep_trading
This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.
generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
wdsr_ntire2018
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
Adversarial_Video_Generation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Detection-and-Classification-of-Alzheimers-Disease
The purpose of this paper is to detect Alzheimer’s Disease using Deep Learning and Machine Learning algorithms on the early basis which is being further optimized using CSA(Crow Search Algorithm). Alz...
action-recognition-visual-attention
Action recognition using soft attention based deep recurrent neural networks