fully-connected-network

There are 2 repositories under fully-connected-network topic.

NumPyANN
ahmedfgad / NumPyANN
Implementation of Artificial Neural Networks using NumPy
artificial-neural-networks numpy ann python machine-learning deep-learning hidden-layers dense fully-connected-network python3 pygad
Language:Python 99
YunYang1994 / OpenWork
有空就写点，没空就空着。
ransac fully-connected-network dnn smpl sort object-tracking pose-estimation face-reconstruction 3dmm
Language:C 90
ahmedfgad / CIFAR10CNNFlask
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
convnet cnn convolutional-neural-network computer-vision image-processing image-classification python flask web-application http javascript css html tensorflow relu max-pooling fully-connected-network dropout
Language:Python 61
ElefHead / numpy-cnn
A numpy based CNN implementation for classifying images
convolutional-neural-networks cnn cnn-classification classification fully-connected-network cifar10 cifar-10 cifar10-experiment
Language:Python 60
upul / Semantic_Segmentation
Semantic Segmentation using Fully Convolutional Neural Network.
fully-connected-network python3 semantic-segmentation tensorflow
Language:Python 58
ecce
rcdilorenzo / ecce
ML Prediction of Bible Topics and Passages (Python / React)
keras-tensorflow fully-connected-network reactjs fastapi data-science interactive-visualizations
Language:JavaScript 48
iam-mhaseeb / Multi-Layer-Perceptron-MNIST-with-PyTorch
This repository is MLP implementation of classifier on MNIST dataset with PyTorch
deep-learning deep-neural-networks fully-connected-network mlp mlp-classifier multi-layer-perceptron neural-network neural-networks pyth python3 udacity udacity-nanodegree
Language:Jupyter Notebook 36
TomasBeuzen / deep-learning-with-pytorch
Content from the University of British Columbia's Master of Data Science course DSCI 572.
python data-science programming pytorch teaching tutorial optimization cnn gan autoencoder fully-connected-network deep-learning neural-network
Language:Jupyter Notebook 34
namratadutt / LiDAR-and-Hyperspectral-Fusion-classification
Landcover classification using the fusion of HSI and LiDAR data.
classification convolutional-neural-networks deep-learning fully-connected-network machine-learning python fusion hyperspectral-image-classification lidar lidar-point-cloud hyperspectral hyperspectral-imaging neural-network hyperspectral-image lidar-point-clouds remote-sensing sensor-fusion
Language:Python 12
ramtiin / Traffic-forecasting-using-different-methods
Time series prediction using deep learning
lstm gru fully-connected-network ai deep-learning time-series forecasting
Language:Jupyter Notebook 12
yonseicasl / Nebula
Nebula: Lightweight Neural Network Benchmarks
deep-learning benchmark suite benchmark-suite machine-learning neural-network deep-neural-network cnn alexnet dbn fully-connected-network lstm mlp resnet rnn vgg fcn gan mobilenet yolo
Language:C++ 10
cetinsamet / age-estimation
Age estimation with PyTorch
computer-vision age-estimation machine-learning fully-connected-network pytorch
Language:Python 9
MalayAgr / DeepNeuralNetworksFromScratch
Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.
deep-learning deep-neural-networks neural-networks artificial-intelligence python numpy coursera fully-connected-network backpropagation convolutional-neural-networks
Language:Python 8
hamidreza-rhz / Index-tracking-portfolio-optimization-using-deep-learning
Tracking S&P 500 index with deep learning model
deep-learning deep-neural-networks index-tracking portfolio-optimization python fully-connected-network pytorch
Language:Jupyter Notebook 7
hoseinlook / bioinformatic-course
simple virus DNA classification
fully-connected-network k-mers word-embedding bioinformatics
Language:Jupyter Notebook 7
amirrezarajabi / Neural-Network-implementation-from-scratch
implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)
neural-network ann deep-learning implementation-from-scratch numpy adam adam-optimizer cnn convolution fully-connected-network gradient-descent maxpooling relu-activation sgd sigmoid-activation
Language:Python 6
Peyman-HK / Stabilized-HiDe-MK
Stabilized Hierarchical DNN with multiple knockoffs
fully-connected-network hierarchical deep-learning neural-networks
Language:Jupyter Notebook 6
tomershay100 / MLP-MNIST-fashion-with-PyTorch
MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)
mnist-fashion machine-learning mlp mlp-classifier neural-network fully-connected-network mnist-fashion-datasets
Language:Python 6
SeonbeomKim / TensoFlow-Basic-deep-learning
Linear Regression, Logistic Regression, Fully Connected Neural Network, Recurrent Neural Network, Convolution Neural Network
linear-regression logistic-regression fully-connected-network recurrent-neural-networks convolutional-neural-networks
Language:Python 5
alcunha / nn-with-tf
Material utilizado para as aulas introdutórias para graduação sobre a utilização do TensorFlow para treinamento de redes neurais.
tensorflow transfer-learning convolutional-neural-networks fully-connected-network
Language:Jupyter Notebook 4
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.
cnn cnn-model deep-learning deeplearning fully-connected-network keras lstm lstm-model machine-learning mfcc mfcc-features python recognition-algorithms recurrent-neural-networks singer tensorflow
Language:Python 4
gorodnichy / PINN
Open Source C++ Library for Pseudo-inverse Fully Connected Recurrent Neural Networks (from my PhD)
neural-networks associative-memory projection-learning pseudo-inverse-networks artificial-intelligence deep-learning-algorithms fully-connected-network recursive-neural-network incremental-learning
Language:C++ 4
HamedBabaei / sentiment-analysis
Twitter sentiment analysis using the sentiment140 dataset
sentiment-analysis texthero scikit-learn keras-tensorflow fully-connected-network perceptron mlp-classifier clean-code modular-programming machine-learning natural-language-processing text-classification
Language:Jupyter Notebook 4
JesperDramsch / Fully-Connected-Neural-Network
machine-learning neural-network fully-connected-network matlab image-analysis mnist
Language:MATLAB 4
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
deep-learning cnn-classification cnn-keras cnn transfer-learning detection-model linear-svm svm svm-classifier svm-model fully-connected-network global-average-pooling convolutional-neural-networks scikit-learn machine-learning pothole-detection vgg16 performance-metrics plotting-performance-graphs
Language:Jupyter Notebook 4
bariscankurtkaya / LeNet5-Scratch
LeNet5 from Scratch
cnn deep-learning fully-connected-network lenet-5 scratch
Language:Python 3
NvsYashwanth / CIFAR-10-Image-Classification
CIFAR-10 Image Classification using PyTorch
cifar cifar10 cnn computer-vision convolutional-neural-networks dataset deep-learning fully-connected-network image-classification neural-network python3 pytorch
Language:Jupyter Notebook 3
NvsYashwanth / MNIST-Handwritten-Digits-Recognition
MNIST handwritten digit classification using PyTorch
cnn computer-vision convolutional-neural-networks dataset deep-learning digits fully-connected-deep-neural-network fully-connected-network handwritten-digit-recognition handwritten-digits mnist mnist-classification mnist-classifier mnist-data mnist-dataset mnist-handwriting-recognition mnist-image-dataset python3 pytorch
Language:Jupyter Notebook 3
VCHui / xor_pytorch
A classical XOR neural network using pytorch
neural-network xor fully-connected-network sigmoid pytorch xor-pytorch serialization python3 matplotlib gif-animation gnuplot tutorial exercise
Language:Python 3
yvan674 / minimal-mnist
A small fully-connected neural network that can run MNIST optimized using BOHB
neural-network fully-connected-network mnist-classification deep-learning raspberry-pi
Language:Python 3
amirkasaei / Deep-Neural-Network-tensorflow-Student-Academic-Performance
tensorflow deep-learning fully-connected-network neural-network python
Language:Jupyter Notebook 2
AntonSchreiber / ROM-buffet-forecasting
Repository for my thesis on "A Comparison of Reduced-Order Models for Wing Buffet Predictions"
autoregressive deep-learning dimensionality-reduction fully-connected-network reduced-order-models singular-value-decomposition time-series-forecasting variational-autoencoder
Language:Jupyter Notebook 2
mixed-farming / MNIST-digit-classification
Recognizing handwritten digits of the MNIST dataset featuring a deep learning model, providing a comprehensive solution for training, testing, and evaluating digit recognition.
fully-connected-network keras mnist-dataset tensorflow matplotlib mnist-digits-classification numpy
Language:Jupyter Notebook 2
obadakhalili / fcnn
An implementation for an FCNN from scratch, for educational purposes
ai deep-learning fully-connected-network machine-learning neural-network
Language:Python 2
Stefan-Radu / fakeMLlibrary
Minimal, limited in features, deep learning library, created with the goal of understanding more of the field.
backpropagation deep-learning fully-connected-network machine-learning ml neural-network relu-activation sigmoid-activation mnist neural-networks
Language:Python 2
tariqshaban / arabic-sign-language-image-classification
An implementation of the Arabic sign language classification using Keras on the zArASL_Database_54K dataset
convolutional-neural-networks efficientnetb0 fully-connected-network keras-tensorflow transfer-learning
Language:Jupyter Notebook 2

fully-connected-network

ahmedfgad / NumPyANN

YunYang1994 / OpenWork

ahmedfgad / CIFAR10CNNFlask

ElefHead / numpy-cnn

upul / Semantic_Segmentation

rcdilorenzo / ecce

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

TomasBeuzen / deep-learning-with-pytorch

namratadutt / LiDAR-and-Hyperspectral-Fusion-classification

ramtiin / Traffic-forecasting-using-different-methods

yonseicasl / Nebula

cetinsamet / age-estimation

MalayAgr / DeepNeuralNetworksFromScratch

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

hoseinlook / bioinformatic-course

amirrezarajabi / Neural-Network-implementation-from-scratch

Peyman-HK / Stabilized-HiDe-MK

tomershay100 / MLP-MNIST-fashion-with-PyTorch

SeonbeomKim / TensoFlow-Basic-deep-learning

alcunha / nn-with-tf

FandosA / Singer_Recognition_Keras_TF

gorodnichy / PINN

HamedBabaei / sentiment-analysis

JesperDramsch / Fully-Connected-Neural-Network

nive927 / Pothole-and-Plain-Road-Classification

bariscankurtkaya / LeNet5-Scratch

NvsYashwanth / CIFAR-10-Image-Classification

NvsYashwanth / MNIST-Handwritten-Digits-Recognition

VCHui / xor_pytorch

yvan674 / minimal-mnist

amirkasaei / Deep-Neural-Network-tensorflow-Student-Academic-Performance

AntonSchreiber / ROM-buffet-forecasting

mixed-farming / MNIST-digit-classification

obadakhalili / fcnn

Stefan-Radu / fakeMLlibrary

tariqshaban / arabic-sign-language-image-classification