fully-connected-network

YunYang1994/OpenWork

有空就写点，没空就空着。

ElefHead/numpy-cnn

A numpy based CNN implementation for classifying images

ahmedfgad/CIFAR10CNNFlask

Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

upul/Semantic_Segmentation

Semantic Segmentation using Fully Convolutional Neural Network.

rcdilorenzo/ecce

ML Prediction of Bible Topics and Passages (Python / React)

TomasBeuzen/deep-learning-with-pytorch

Content from the University of British Columbia's Master of Data Science course DSCI 572.

iam-mhaseeb/Multi-Layer-Perceptron-MNIST-with-PyTorch

This repository is MLP implementation of classifier on MNIST dataset with PyTorch

namratadutt/LiDAR-and-Hyperspectral-Fusion-classification

Landcover classification using the fusion of HSI and LiDAR data.

hamidreza-rhz/Index-tracking-portfolio-optimization-using-deep-learning

Tracking S&P 500 index with deep learning model

ramtiin/Traffic-forecasting-using-different-methods

Time series prediction using deep learning

yonseicasl/Nebula

Nebula: Deep Neural Network Benchmarks in C++

cetinsamet/age-estimation

Age estimation with PyTorch

tomershay100/MLP-MNIST-fashion-with-PyTorch

MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)

MalayAgr/DeepNeuralNetworksFromScratch

Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.

hoseinlook/bioinformatic-course

simple virus DNA classification

amirrezarajabi/Neural-Network-implementation-from-scratch

implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)

Peyman-HK/Stabilized-HiDe-MK

Stabilized Hierarchical DNN with multiple knockoffs

SeonbeomKim/TensoFlow-Basic-deep-learning

Linear Regression, Logistic Regression, Fully Connected Neural Network, Recurrent Neural Network, Convolution Neural Network

nive927/Pothole-and-Plain-Road-Classification

Using deep learning and transfer learning techniques to differentiate plain roads and those with potholes using three different classifiers to obtain the best accuracy with the same convolutional base

NvsYashwanth/MNIST-Handwritten-Digits-Recognition

MNIST handwritten digit classification using PyTorch

alcunha/nn-with-tf

Material utilizado para as aulas introdutórias para graduação sobre a utilização do TensorFlow para treinamento de redes neurais.

FandosA/Singer_Recognition_Keras_TF

This project was my final Bachelor's degree thesis. In it I decided to mix my passion, music, and the syllabus that I liked the most in my degree, deep learning.

gorodnichy/PINN

Open Source C++ Library for Pseudo-inverse Fully Connected Recurrent Neural Networks (from my PhD)

HamedBabaei/sentiment-analysis

Twitter sentiment analysis using the sentiment140 dataset

Hamid-Rezaei/Computational-Intelligence

JesperDramsch/Fully-Connected-Neural-Network

bariscankurtkaya/LeNet5-Scratch

LeNet5 from Scratch

NvsYashwanth/CIFAR-10-Image-Classification

CIFAR-10 Image Classification using PyTorch

robin-janssen/CODES-Benchmark

Benchmarking Surrogates for coupled ODE systems.

Sid2697/Fill_missing

Code for Point Cloud Generation

tariqshaban/arabic-sign-language-image-classification

An implementation of the Arabic sign language classification using Keras on the zArASL_Database_54K dataset

VCHui/xor_pytorch

A classical XOR neural network using pytorch

yvan674/minimal-mnist

A small fully-connected neural network that can run MNIST optimized using BOHB

ABazshoushtari/image-classification-PyTorch

Image Classification projects on MNIST dataset and brain tumors images using PyTorch

AFLProjects/deepl

A simple deep learning library for training end-to-end fully-connected Artificial Neural Networks (ANNs), primarily based on numpy and autograd.