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Deep neural networks

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.

https://github.com/jofaval/mnist

Computer Vision with Neural Networks for handwritten digits recognition in 1998

classification computer-vision data-science deep-learning deep-neural-networks google-colab keras matplotlib pyspark python pytorch seaborn spark tensorflow

Last synced: 21 Oct 2024

https://github.com/j3-signalroom/j3-ml_ai-education_experiences

Some of the project notebooks I built during my deepatlas.ai well-rounded education program.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks machine-learning

Last synced: 27 Oct 2024

https://github.com/maxvandenhoven/deep-defect-detection

University project applying deep neural networks and automatic hyperparameter optimization to detect defects in manufactured parts

binary-classification convolutional-neural-networks deep-learning deep-neural-networks defect-detection hyperopt hyperparameter-optimization python pytorch sklearn

Last synced: 07 Nov 2024

https://github.com/saikat-roy/deep-convolutional-gan

DCGAN implemented as part of the Deep Learning for Computer Vision course at the University of Bonn (WS 2018/19)

dcgan deep-learning deep-neural-networks generative-adversarial-network

Last synced: 05 Nov 2024

https://github.com/aiaaee/california_housing

It's about California House value. the goal is find a great method to assemble reasonable train test based on MLP regression by using torch

data-science datasets deep-learning deep-neural-networks machine-learning machine-learning-algorithms python

Last synced: 05 Nov 2024

https://github.com/ardawanism/a-tour-of-pytorch

In this repo, an introductory tutorial on PyTorch is provided. You can learn about the basics of PyTorch alongside defining and training deep neural networks consisting of different layer types such as fully-connected, convolutional, and etc.

convolutional-neural-networks deep-learning deep-neural-networks deeplearning multilayer-perceptron neural-network neural-networks pytorch pytorch-tutorial

Last synced: 10 Oct 2024

https://github.com/guiferviz/aidictive

Addictive Artificial Intelligence library! SOTA models made easy :)

artificial-intelligence deep-learning deep-neural-networks easy-to-use machine-learning

Last synced: 07 Oct 2024

https://github.com/arif-miad/image-classification

pre-trained image classification models use prior knowledge to recognize patterns in images, speeding up training and improving accuracy.

computer-vision deep-neural-networks kaggle-dataset keras python pytorch resnet-50 tensorflow transfiterlearning vgg19

Last synced: 24 Oct 2024

https://github.com/hackintoshrao/tensorflow-income-bracket

Predicting whether the income > 50K based on the information about the individuals.

classification deep-learning deep-neural-networks tensorflow

Last synced: 26 Oct 2024

https://github.com/mahendran-narayanan/double-vit

[ICPR 2024] DoubleViT Pushing transformers towards the end because of convolutions

deep-learning deep-neural-networks icpr2024 pytorch tensorflow

Last synced: 03 Nov 2024

https://github.com/sixcolors/hotdog

Image classification application that uses deep learning to determine whether an image contains a hotdog or not.

ai deep-neural-networks hotdog hotdog-classifiers machine-learning ml not-hotdog python3 tensorflow

Last synced: 27 Oct 2024

https://github.com/frgfm/pytorch-mnist

Implementation of various basic architectures (training on MNIST, Visdom visualization)

computer-vision deep-learning deep-neural-networks lenet mnist python3 pytorch pytorch-cnn visdom

Last synced: 22 Oct 2024

https://github.com/qasimwani/dqn-openai

Using DQN (Deep Q Network) to develop a DRL (Deep Reinforcement Learning) agent to solve LunarLander environment in OpenAI gym.

deep-neural-networks dqn keras-tensorflow openai-gym reinforcement-learning

Last synced: 07 Nov 2024

https://github.com/travelxml/tensorflow-and-keras-sentiment-analysis-using-rnn

NLP: Sentiment Analysis using TensorFlow and Keras: This project implements a Recurrent Neural Network (RNN) to classify Amazon product reviews into different sentiment categories. It leverages text preprocessing, tokenization, and model training to predict the sentiment with high accuracy.

deep-learning deep-neural-networks deeplearning keras keras-tensorflow nlp rnn rnn-tensorflow sentiment-analysis tenserflow

Last synced: 03 Nov 2024

https://github.com/angrybayblade/nnviz

📊 NNViz is interactive visualization tool for Tensorflow made neural networks.

artificial-intelligence artificial-neural-networks deep-neural-networks interpretable-machine-learning tensorflow visualization-tools

Last synced: 28 Oct 2024

https://github.com/zaquyn/tensorflow-developer-certificate-bootcamp

These notebooks contain many foundations in TensorFlow from to fundamental to NLP, Computer Vision and Time series

artificial-intelligence deep-learning deep-neural-networks tensorflow tensorflow-tutorials tensorflow2

Last synced: 03 Nov 2024

https://github.com/techshot25/fashion-mnist-dnn

Testing the construction of deep neural nets (DNNs) on fashion MNIST dataset.

classification deep-neural-networks machine-learning-algorithms neural-network tensorflow tensorflow-experiments

Last synced: 03 Nov 2024

https://github.com/cseas/image-classifier

Deep Neural Network Classifier to recognise images based on custom training classes.

classify-images deep-learning deep-neural-networks image-classifier python python3 tensorboard tensorflow

Last synced: 07 Nov 2024

https://github.com/parth-shastri/neural_nets_tensorflow

Just a small set of projects from a student who loves to play with Deep-learning!

deep-learning deep-neural-networks learning neural-networks python3 tensorflow-examples tensorflow-tutorials tensorflow2

Last synced: 03 Nov 2024

https://github.com/rakibhhridoy/neuralstyletransfer-tensorflow

One of the curious outcome of data science revolution is neural style transfer where nst algorithm merge two images, content and style, creating a artistic image of content image. Here TensorFlow is used to process images and lastly used nst algorithm.

deep-learning deep-neural-networks machine-learning neural-style-transfer neuralstyletransfer nst python tensorflow

Last synced: 06 Nov 2024

https://github.com/saravanabalagi/deep_learning

My solutions for Deep Learning by Google MOOC on Udacity

deep-learning deep-neural-networks solutions udacity

Last synced: 06 Nov 2024

https://github.com/alyssonmach/deploy-to-heroku-app

An interactive application to ... identify 🐱 in images (neural network of l-layers).

classification-model deep-neural-networks heroku-deployment python streamlit

Last synced: 06 Nov 2024

https://github.com/piero24/vanillanet-cpp

A fully connected Neural Network in C++ with SGD from scratch, achieving 98% accuracy on the MNIST dataset.

backpropagation cmake cpp deep-learning deep-neural-networks loss-functions neural-network neural-networks-from-scratch opencv softmax

Last synced: 31 Oct 2024

https://github.com/pthmhatre/stylescribe-using-generative-adversarial-network

A fashion AI-based model capable of generating images from textual descriptions. The model should take natural language text as input and generate images that visually represent the given text. This text-to-image generation system bridges the gap between textual descriptions and visual content.

deep-neural-networks flask-application generative-adversarial-network generative-ai googlecloudplatform hyperparameter-tuning keras-tensorflow neural-networks nlp os pillow rdp-connection scipy sklearn-metrics spacy-nlp texttoimage tfidf-vectorizer

Last synced: 15 Oct 2024

https://github.com/protyayofficial/imagecolorization

This project utilizes GANs for converting grayscale images to color, leveraging deep learning models to enhance colorization accuracy. It features customizable training pipelines, evaluation metrics, and supports further improvements with new models and techniques.

convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network image-colorization image-generation pytorch

Last synced: 03 Nov 2024

https://github.com/prpriesler/covid19-insights-and-analytics

This project delves into the realm of data analytics and programming, focusing on four pivotal datasets related to the COVID-19 pandemic: confirmed global, death global, vaccination & population data, and Twitter data.

covid19 covid19-data data data-science dataanalytics deep-neural-networks machine-learning natural-language-processing

Last synced: 07 Nov 2024

https://github.com/rssr25/machine-learning

All the machine learning stuff that I do will be here. Mainly python programs.

andrew-ng-course coursera deep-learning deep-neural-networks deeplearning-ai machine-learning neural-network resnet yolo

Last synced: 05 Nov 2024

https://github.com/motykatomasz/deepimageprior

Project reproducing part of "Deep Image Prior" paper, conducted for Deep Learning course (CS4240) at TU Delft.

cnn deep-learning deep-neural-networks pytorch

Last synced: 27 Oct 2024

https://github.com/cooldragon12/solana-forecasting-using-lstm

A time series forecasting analysis using LSTM for the Solana Price

deep-neural-networks lstm lstm-model machine-learning

Last synced: 08 Oct 2024

Deep neural networks Awesome Lists
awesome-deep-learning-papers 238 Machine-Learning-Tutorials 484 awesome-deep-learning-music 248 Awesome-Learning-with-Label-Noise 276 awesome-deep-trading 94 awesome-colab-notebooks 525 awesome-transformers-in-medical-imaging 202 awesome-emdl 147 Awesome-Speech-Enhancement 105 awesome-multi-task-learning 225 Awesome-3D-Object-Detection 169 awesome-full-stack-machine-learning-courses 106 Awesome-Distributed-Deep-Learning 44 awesome-gans-and-deepfakes 61 Awesome-Information-Bottleneck 201 awesome-video-object-detection 41 awesome-deep-neuroevolution 200 awesome-deep-reinforcement-learning 257 awesome-deepneuroimage 73 awesome-ai-cancer 193 Best-Audio-Classification-Resources-with-Deep-learning 259 awesome-tensorial-neural-networks 99 awesome-ai-brain-computer-interface 97 awesome-speech-emotion-recognition 114 LiDAR-Guide 176 awesome-deepnote 41 CoreML-Guide 333 Awesome-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 awesome-approximate-dnn 78 Deep-Learning 38 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-ai-cybersecurity 158 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 947 Uncategorized 556 Papers & Code 408 Classification COVID19 (Separate section due to its current significance) 408 DL4M summary 360 Introduction 331 Overview 256 Tutorials 241 Other useful related lists and resources 201 Research 197 Neural Networks (NN) and Deep Neural Networks (DNN) 189 Architecture 131 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Tools for Robotics 95 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Paper: 82 Distributed Computing Tools, Libraries, and Frameworks 80