hidden-layers

There are 0 repository under hidden-layers topic.

codeplea / genann
simple neural network library in ANSI C
backpropagation genetic-algorithm artificial-neural-networks ann neurons hidden-layers neural-network neural-networks neural ansi c tiny
Language:C 1904
goessl / MachineLearning
An easy neural network for Java!
java machine-learning neural-network neurons hidden-layers weight learning-rate artificial-intelligence weights learning matrix matrices matrix-calculations prediction easy-to-use lightweight begginer
Language:Java 126
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 98
rtflynn / Cifar-Autoencoder
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
python cifar10 autoencoder mnist neural-network convolutional-neural-networks hidden-layers convolutional-layers reconstructed-images strided-convolutions convolutional-autoencoders
Language:Python 60
Ranlot / spiralNet
Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an optimal packing strategy during their training.
artificial-neural-networks hidden-layers
Language:Python 22
XAheli / Predicting-Indian-Stocks-Price-with-Stacked-LSTM
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
activation-functions hidden-layers hyperparameter-optimization hyperparameter-tuning indian-stock-market lstm-neural-networks machine-learning optimisation stock-price-prediction lstm
Language:Jupyter Notebook 14
nathansamsel / mnist_neural_network
An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.
neural-network mnist-dataset backpropagation machine-learning python-implementation layer-neurons hidden-layers weights learn-backpropagation imagine solve-for-inputs neural-network-example
Language:Python 10
anubhavsaxena14 / Threat-Detection-using-Sentiment-Analysis
Threat Detection System using Hybrid (Machine Learning + Lexical Analysis) learning Approach.
python numpy sentiment-analysis nltk-library lexical-analysis neural-networks threat-detection anaconda machine-learning hidden-layers lexicon spyder
Language:Python 9
bmouler / neural-financial-prediction-encog-java
neural network financial-analysis time-series prediction java hidden-layers financial series analysis trading-algorithms trading
Language:Java 8
LanzaSchneider / GenannSharp
Genann library port to C#, simple neural network library in ANSI C
csharp neural-network genetic-algorithm tiny neural-networks artificial-neural-networks neurons ann backpropagation hidden-layers neural
Language:C# 7
Ishan7390 / NN_fashMNIST
Neural Network to predict which wearable is shown from the Fashion MNIST dataset using a single hidden layer
mnist-classification neural-network hidden-layers softmax-classifier relu-layer adam-optimizer cross-entropy-loss
Language:Python 5
hknakst / artificial-neural-networks-YapaySinirAglari-
one layer and two layer neural networks
neural-network yapay-sinir-aglari hidden-layers perceptron-learning-algorithm perceptron delta multilayer-perceptron-network multilayer-neural-network
Language:C++ 4
vrikodar / Snoop
Snoop can be used to expand shortened Links such as those from bit.ly etc.to their original form without actually visting them. right from your terminal
link-expander hidden-layers bitlyhhhannnahhh link-detection short-links snoopy snoop hunters malicious-url-detection
Language:Shell 3
anujdutt9 / CNN-Deep-Layer-Filters-Visualization
CNN Deep Layer Filters Visualization using Tensorflow.
convolutional-neural-networks tensorflow python35 numpy hidden-layers visualization
Language:Python 2
Ashwanikumarkashyap / neural-net-breast-cancer-prediction-from-scratch
A neural network (NN) having two hidden layers is implemented, besides the input and output layers. The code gives choise to the user to use sigmoid, tanh orrelu as the activation function. Prediction accuracy is computed at the end.
hidden-layers machine-learning neural-network prediction python scratch sigmoid tanh
Language:Python 2
chiapeilin / Neural-Network
The code of forward propagation , cost function , backpropagation and visualize the hidden layer.
forward-propagation backward-propagation hidden-layers cost-function
Language:Jupyter Notebook 1
daelsepara / DeepNeuralNetworkClassifier
Deep Neural Network Classifier for the Win/Linux/OSX platform based on the GTK# Framework
deep-neural-network hidden-layers classification machine-learning
Language:C# 1
GhFatimah / Arabic-Handwritten-Letter-Recognition_CNN
artificial-intelligence machine-learning deep-learning arabic-alphabets handwritten cnn computer-vision neural-networks hidden-layers keras-tensorflow
1
HarveyBrezinaConniffe / MNIST-NeuralNet
A implementation of a Neural Network in vanilla python that trains on the MNIST handwritten digit classifiction problem.
neural-network mnist numpy ai machine-learning hidden-layers sigmoid gradient-descent
Language:Python 1
JLeigh101 / deep-learning-challenge
NU Bootcamp Module 21
activation-functions deep-learning get-dummies hidden-layers keras-tensorflow machine-learning model-optimization model-training-and-evaluation neural-network predictive-modeling python standardscaler dataframe pandas scikit-learn relu-activation sigmoid-activation tanh-activation
Language:Jupyter Notebook 1
Karla-Flores / Neural-Network--Charity-Donation
Deep-Learning neural network to analyze and classify the success of charitable donations.
colaboratory neural-network neurons perceptron hidden-layers relu-activation sigmoid-activation tensorflow seaborn deep-learning
Language:Jupyter Notebook 1
nikhildagarwal / Number_Classifier_ML
Python neural network built from scratch. Uses Machine Learning algorithms to correctly classify handwritten numbers into digits.
back-propagation hidden-layers machine-learning neural-network neurons object-oriented-programming python
Language:Python 1
Pegah-Ardehkhani / One-Hidden-Layer-Neural-Network-From-Scratch
"One Hidden Layer Neural Network" from Scratch
data-science deep-learning from-scratch from-scratch-in-python hidden-layers machine-learning neural-network
Language:Jupyter Notebook 1
rajeshidumalla / Classification-with-one-hidden-layer
Implementing a 2-class classification neural network with a single hidden layer. Using units with a non-linear activation function such as tanh. Computing the cross entropy loss. Implementing forward and backward propagation.
logistic-regression nuralnetwork hidden-layers python machine-learning deep-learning data-science data-analysis
Language:Jupyter Notebook 1
ramapitecusment / student_academic_performance
Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet
random-forest neuralnet cross-validation hidden-layers accuracy
Language:R 1
Satyaki0924 / bike-sharing-prediction-with-neural-network
This project is build up completely with numpy. It implements basic neural network concepts including backpropagation, hidden layers, activation function and gradient descent.
data-plots hidden-layers prediction neural-network backpropagation
Language:Python 1
zenetio / Neural-Networks-and-Deep-Learning
Deep Learning projects
deep-learning artificial-intelligence neural-network logistic-regression python classification-model hidden-layers numpy
Language:Jupyter Notebook 1
Annbelbella / Deep_Learning_Challenge
The nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures
data-science deep-learning get-dummies hidden-layers machine-learning model-optimization model-training-and-evaluation neural-network pandas predictive-modeling python
Language:Jupyter Notebook 0
Hamim-Hussain / Enhancing-Deep-Learning-Model-Performance
Nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures. Using machine learning and neural networks, you’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded.
activation-functions data-science dataframe deep-learning get-dummies hidden-layers machine-learning model-optimization model-training-and-evaluation neural-network pandas predictive-modeling python
Language:Jupyter Notebook 0
LanzaSchneider / GenannSharpUnsafe
Genann library port to C# (unsafe version), simple neural network library
csharp neural-network genetic-algorithm tiny artificial-neural-networks ann backpropagation hidden-layers neural unsafe
Language:C# 0
openworld42 / Backpropagation
Neural backpropagation with examples and training (Java)
artificial-neural-networks backpropagation backpropagation-algorithm backpropagation-neural-network data-science deep-learning hidden-layers java machine-learning neural-network open-source
Language:Java 0
soheilabadifard / Neural_Network_Regressor
Neural Networks scratch
backpropagation hidden-layers neural-network numpy pandas python
Language:Python 0
Suvodeep-Das / Deep-Learning
This repository covers the practical applications of Deep Learning
keras tensorflow flatten-layers hidden-layers neural-network neuron pytorch
Language:Jupyter Notebook 0
Pegah-Ardehkhani / Deep-Neural-Network-From-Scratch
"Deep Neural Network" from Scratch
data-science deep-learning deep-neural-networks from-scratch from-scratch-in-python hidden-layers machine-learning neural-network python
Language:Jupyter Notebook
RJBarker / deep-learning-challenge
Create a neural network through TensorFlow and Keras to build a model which has the ability to assess an organisation's ability to be successful with funding from the Alphabet Soup charity
analysis csv deep-learning hidden-layers keras keras-tuner machine-learning neural-network neurons pandas-dataframe python tensorflow
Language:Jupyter Notebook
Tekateka / Neural_Network_Charity_Analysis
Compiled, trained, evaluated, and optimized models using Neural Networks and Deep Learning Models.
biner-classification deep-neural-networks hidden-layers machine-learning tensorflow
Language:Jupyter Notebook

hidden-layers

codeplea / genann

goessl / MachineLearning

ahmedfgad / NumPyANN

rtflynn / Cifar-Autoencoder

Ranlot / spiralNet

XAheli / Predicting-Indian-Stocks-Price-with-Stacked-LSTM

nathansamsel / mnist_neural_network

anubhavsaxena14 / Threat-Detection-using-Sentiment-Analysis

bmouler / neural-financial-prediction-encog-java

LanzaSchneider / GenannSharp

Ishan7390 / NN_fashMNIST

hknakst / artificial-neural-networks-YapaySinirAglari-

vrikodar / Snoop

anujdutt9 / CNN-Deep-Layer-Filters-Visualization

Ashwanikumarkashyap / neural-net-breast-cancer-prediction-from-scratch

chiapeilin / Neural-Network

daelsepara / DeepNeuralNetworkClassifier

GhFatimah / Arabic-Handwritten-Letter-Recognition_CNN

HarveyBrezinaConniffe / MNIST-NeuralNet

JLeigh101 / deep-learning-challenge

Karla-Flores / Neural-Network--Charity-Donation

nikhildagarwal / Number_Classifier_ML

Pegah-Ardehkhani / One-Hidden-Layer-Neural-Network-From-Scratch

rajeshidumalla / Classification-with-one-hidden-layer

ramapitecusment / student_academic_performance

Satyaki0924 / bike-sharing-prediction-with-neural-network

zenetio / Neural-Networks-and-Deep-Learning

Annbelbella / Deep_Learning_Challenge

Hamim-Hussain / Enhancing-Deep-Learning-Model-Performance

LanzaSchneider / GenannSharpUnsafe

openworld42 / Backpropagation

soheilabadifard / Neural_Network_Regressor

Suvodeep-Das / Deep-Learning

Pegah-Ardehkhani / Deep-Neural-Network-From-Scratch

RJBarker / deep-learning-challenge

Tekateka / Neural_Network_Charity_Analysis