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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/grascya/forecasting-electricity-by-hour-rnn-vs-lstm

Explore the Production and Consumption of Electricity produced by different types of energy sources and build an RNN and LSTM to forecast them

deep-neural-networks electricity keras lstm-neural-networks rnn-model tensorflow2

Last synced: 10 Oct 2024

https://github.com/yash-rewalia/emotion_detection_cnn_deep_learning

This project focuses on emotion detection using Convolutional Neural Networks (CNN), implementing and comparing four models: a custom CNN, a custom CNN with data augmentation, VGG16, and ResNet50v2 for accurate emotion recognition from images.

deep-learning deep-neural-networks emotion-detection keras machine-learning python tensorflow

Last synced: 03 Nov 2024

https://github.com/heet9022/ye-kiski-tasweer-hai

A platform for training, labeling and retraining image classification models.

deep-neural-networks image-classification platform resnet

Last synced: 24 Oct 2024

https://github.com/amdjadouxx/chifoumiai

A model which take an image of a hand making a sign (paper, scissor, rock) and detect which sign it is, improvement to come

artificial-neural-networks cnn-classification deep-neural-networks ia python3 tensorflow-tutorials

Last synced: 10 Oct 2024

https://github.com/hackintoshrao/blog-posts

Markdown of my blog posts at medium.com/@hackintoshrao and hackintoshrao.com

artificial-intelligence deep-learning deep-neural-networks technical-writing

Last synced: 26 Oct 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/camara94/face_recognition

In this project, will learn the concept to implement face recognition problem.

deep-learning deep-neural-networks face-detection face-recognition machine-learning tensorflow2

Last synced: 05 Nov 2024

https://github.com/sebukpor/breast-cancer-classification

this model classifies breast cancer as either benign or malignant

deep-learning deep-neural-networks tensorflow tensorflowjs

Last synced: 05 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/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/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/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/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/asaficontact/stack_classifier_project

We classified Stack Overflow Python questions from 2008-2016 with Natural Language Processing and Deep Learning. Using Regular Expressions, we removed HTML tags and punctuation. We also utilized spaCy to tokenize, lemmatize and remove stop words. Using Keras, we built a 4 layered artificial neural network with a 20% dropout rate using relu and softmax activation functions. We also utilized the adam optimizer and categorical cross-entropy loss function which classified 11 tags 88% successfully.

cross-entropy-loss deep-learning deep-neural-networks keras lemmatization neural-networks object-oriented-programming pandas python3 regular-expressions relu sklearn spacy spacy-nlp stackoverflow tfidf tokenization

Last synced: 05 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/shubhamahobia/ann-classification

The project involves developing a machine learning model to predict customer churn using Artificial Neural Networks (ANN). Customer churn refers to the loss of clients or subscribers. Accurately predicting churn helps businesses implement strategies to retain customers, thereby increasing profitability.

aritificial-intelligence artificial-neural-networks churn-prediction churn-rates classification deep-learning deep-neural-networks machine-learning

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/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