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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.
- GitHub: https://github.com/topics/deep-neural-networks
- Wikipedia: https://en.wikipedia.org/wiki/Deep_neural_networks
- Aliases: deep-neural-network,
- Last updated: 2025-02-15 00:07:32 UTC
- JSON Representation
https://github.com/debasish-dutta/handwritten-digit-classifier
A web-app based on a handwritten digit recognizer TF model and its neural network created from scratch and is deployed using a web-app with tensorflow.js
deep-neural-networks tensorboard-mnist-digit tensorflow2
Last synced: 19 Jan 2025
https://github.com/stupidcucumber/stablediffusion
A repository for fine-tuning StableDiffusion2.
deep-neural-networks diffusion-models generation python stable-diffusion text-to-image torch training
Last synced: 19 Jan 2025
https://github.com/stupidcucumber/deeplabv3-celebhq
Trained Torch version of the DeepLab on the CelebHQ.
deep-neural-networks deeplabv3 face-segmentation python3 segmentation-models torch
Last synced: 19 Jan 2025
https://github.com/aravinda-1402/diabetes-prediction-using-machine-learning
To predict whether a person has diabetes or not depending on the parameters given using the 'PIMA Diabetes' dataset
data-science deep-neural-networks machine-learning-algorithms
Last synced: 19 Jan 2025
https://github.com/inviii/ava
AVA is an AI/ML-based open-source program designed for fully autonomous Cars and Drones. AVA stands for AUTONOMOUS VEHICLE & AVIATION
ava aviation computer-vision convolutional-neural-networks deep-neural-networks lane-finding machine-learning self-driving-car tensorflow traffic-sign-classification vehicle-detection
Last synced: 19 Jan 2025
https://github.com/lifeisbeautifu1/deep-learning
My Google Colab notebooks for studying Deep Learning
ai computer-vision convolutional-neural-networks data-science deep-learning deep-neural-networks difussion machine-learning neural-network notebook python pytorch tensorflow text-to-image
Last synced: 19 Jan 2025
https://github.com/justdvnsh/research-summarizer
A research paper summariezer app
app deep-learning deep-neural-networks encoder-decoder gru lstm machine-learning machine-learning-algorithms research rnn rnn-tensorflow seq2seq summarizer webapp
Last synced: 07 Feb 2025
https://github.com/justdvnsh/dbot
My chatbot
chatbot dbot decoder deep-learning deep-neural-networks encoder encoder-decoder-model gru lstm machine-learning machine-learning-algorithms rnn rnn-tensorflow seq2seq
Last synced: 07 Feb 2025
https://github.com/aaditya29/first-neural-network
Jupyter Notebook predicting the House Prices
deep-learning deep-learning-algorithms deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms neural-network neural-networks
Last synced: 07 Feb 2025
https://github.com/micahondiwa/applied-ai
Deep Learning for Computer Vision: A collection of 6 end-to-end applied AI projects.
computer-vision deep-learning deep-neural-networks deep-reinforcement-learning generative-adversarial-network generative-ai neural-machine-translation neural-network pytorch transformers
Last synced: 31 Jan 2025
https://github.com/jotstolu/training-machine-learning-models-for-weed-classification
This project involves training different machine learning-based classifiers using image processing techniques to accurately classify two weed classes: charlock and cleavers.This Image classification task focuses on Four Main things: 1)Image Preparation and Pre-processing 2)Feature Extraction 3)Model Training 4)Model Evaluation and Analysis
deep-learning deep-neural-networks image-classification image-processing machine-learning
Last synced: 26 Jan 2025
https://github.com/mehmetgoren/deepstack_service
Feniks iNVR DeepStack Service
computer-vision deep-neural-networks deepstack docker docker-client face-recognition feniks message-broker microservices-architecture object-detection python-multiprocessing pytorch redis
Last synced: 21 Jan 2025
https://github.com/ostaptan/road_signs_prediction
Road signs prediction CNN model
cnn-classification deep-neural-networks machine-vision relu tensorflow
Last synced: 19 Jan 2025
https://github.com/ggiuffre/machine-lambda
Purely functional implementation of SGD on feed-forward neural nets
deep-neural-networks functional-programming haskell-library neural-network stochastic-gradient-descent
Last synced: 19 Jan 2025
https://github.com/mvinyard/torch-nets
Compose PyTorch Neural Networks
deep-learning deep-neural-networks machine-learning neural-networks python pytorch
Last synced: 20 Jan 2025
https://github.com/dansolombrino/kindergarten-vq-vae
Improving disentanglement properties in off-the-shelf Transformer models
autoencoders deep-learning deep-neural-networks natural-language-processing nlp transformers
Last synced: 07 Feb 2025
https://github.com/dansolombrino/creactive
A set of experiments on Deep Neural Networks activation functions
activation-functions deep-learning deep-neural-networks nonlinear-optimization
Last synced: 07 Feb 2025
https://github.com/dansolombrino/biscuits
A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos
batchnorm cnn cnns convolutional-neural-networks deep-learning deep-neural-networks resnet resnets
Last synced: 07 Feb 2025
https://github.com/natielle/udemy-tensorflowcompython
Material de estudo do curso: https://www.udemy.com/course/tensorflow-machine-learning-deep-learning-python/learn/lecture/12670278#overview
deep-learning deep-neural-networks deeplearning python tensorflow
Last synced: 21 Jan 2025
https://github.com/loudji971/chatbot-intent-classifier
Chatbot based on natural language processing (NLP) and deep learning for accurate intent classification in conversations. - Artificial Inteligence Tecniques
ai atis-dataset bert chat-bot-deep-learning deep-neural-networks fastapi intent-classification keras nlp nltk nltk-keras-python nlu-engine scikit-learn tridib-samanta
Last synced: 25 Jan 2025
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: 01 Feb 2025
https://github.com/codewithdark-git/titans-transformer
This repository contains an experimental implementation of the Titans Transformer architecture for sequence modeling tasks. The code is a personal exploration and may include errors or inefficiencies as I am currently in the learning stage. It is inspired by the ideas presented in the original
deep-learning deep-neural-networks inference llm ml neural-networks new nn paper python research-paper test titans transformer transformers-models
Last synced: 25 Jan 2025
https://github.com/hemanthh17/ct5129-thesis-image-dehazing
ClearFlow: An Enhanced Image Dehazing Workflow Using Model Ensembling and CNN Postprocessing. This project is aimed to train a neural network to handle the task of image dehazing.
computer-vision deep-learning deep-neural-networks torch torchvision
Last synced: 21 Jan 2025
https://github.com/rsn601kri/quantum_reservoir_modeling
Quantum Reservoir Computing (QRC) algorithm to address credit risk modeling use any quantum software development kit (SDK) or quantum processing unit (QPU).
deep-neural-networks python quantum-computing random-generation reservoir-computing
Last synced: 27 Dec 2024
https://github.com/carpentries-incubator/deep-learning-intro
Placeholder to redirect visitors to https://carpentries-lab.github.io/deep-learning-intro/
beta carpentries carpentries-incubator deep-learning deep-neural-networks english lesson neural-network python
Last synced: 14 Feb 2025
https://github.com/vishnun0027/sentiment-analysis
Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy
bag-of-words deep-learning deep-neural-networks deeplearning gru logistic-regression lstm machine-learning nltk-python rnn rnn-model sentiment-analysis svm-model tensorflow tensorflow2 text-classification text-preprocessing tf-idf tokenizer
Last synced: 25 Jan 2025
https://github.com/jpleorx/tf-cifar10
Deep Convolutional Neural Network for CIFAR10 problem. Achieved 91.49% accuracy.
artificial-intelligence cifar10 convolutional-neural-network convolutional-neural-networks deep-convolutional-neural-networks deep-learning deep-neural-networks keras machine-learning neural-network neural-networks python tensorflow
Last synced: 25 Jan 2025
https://github.com/clementetienam/ccr_piezoresponse-force-microscopy-
Using CCR to predict piezoresponse force microscopy datasets
deep-neural-networks machine-learning mixture-of-experts supervised-learning
Last synced: 31 Jan 2025
https://github.com/aman-17/deep-learning-practise
Practicing deep learning also involves being familiar with the libraries and frameworks like Tensorflow, Pytorch, Theano, etc. that are commonly used to train and deploy deep learning models, as well as staying up to date with the latest research and advancements in the field.
deep-learning deep-neural-networks python pytorch tensorflow
Last synced: 25 Jan 2025
