Skip to content
#

Deep neural networks

Star

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.

Here are 205 public repositories matching this topic...

Language: HTML
Filter by language
All 8,627 Jupyter Notebook 3,981 Python 3,188 HTML 205 C++ 176 JavaScript 83 MATLAB 79 Java 50 TeX 46 C 41 R 30
Sort: Fewest stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

kmario23 / deep-learning-drizzle

Star 12.5k

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks
  • Updated Oct 19, 2024
  • HTML

mohamedameen93 / German-Traffic-Sign-Classification-Using-TensorFlow

Star 71

In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.

python machine-learning deep-neural-networks deep-learning tensorflow image-classification autonomous-driving autonomous-vehicles german-traffic-sign-classifier
  • Updated Dec 3, 2019
  • HTML

ayansengupta17 / GAN

Star 21

We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

python machine-learning deep-neural-networks deep-learning discriminator generative-adversarial-network gan batch-normalization dcgan sentence cubs loss-functions skip-thought-vectors text-encodings mscoco mscoco-dataset dcgan-tensorflow tensrorflow stack-gan
  • Updated May 7, 2018
  • HTML

prateeksawhney97 / Dog-Breed-Classification-Project-Using-Flask

Star 17

Dog Breed classifier project of the Data Scientist Nanodegree by Udacity. A Web Application is developed using Flask through which a user can check if an uploaded image is that of a dog or human. Also, if the uploaded image is that of a human, the algorithm tells the user what dog breed the human resembles the most. The Deep Learning model disti…

data-science machine-learning deep-neural-networks deep-learning udacity-nanodegree dog-breed-classifier
  • Updated Nov 22, 2022
  • HTML

Kuntal-G / Books

Star 11

This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt

social-media deep-neural-networks deep-learning time-series sentiment-analysis exploratory-data-analysis regression generative-adversarial-network classification data-analysis transfer-learning pretrained-models bigdl discogan began stackgan model-deployment dcgans ssgan deep-dream
  • Updated Dec 27, 2021
  • HTML
Followers
311 followers
Wikipedia
Wikipedia