Ecosyste.ms: Repos

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GitHub topics: hidden-layers

Siddhant-Ray/Artificial-Neural-Network-Implementation 📦

This is an ANN model template which uses a tanh activation function on an existing make_moons dataset. The number of hidden layers can be increased to improve prediction precision and accuracy.

Language: Jupyter Notebook - Size: 578 KB - Last synced: 18 days ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 0

ahmedfgad/NumPyANN

Implementation of Artificial Neural Networks using NumPy

Language: Python - Size: 10.6 MB - Last synced: 11 days ago - Pushed: 12 months ago - Stars: 99 - Forks: 53

codeplea/genann

simple neural network library in ANSI C

Language: C - Size: 73.2 KB - Last synced: 30 days ago - Pushed: 9 months ago - Stars: 1,905 - Forks: 223

Shuyib/pimaDLkeras

Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced: about 2 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

zenetio/Neural-Networks-and-Deep-Learning

Deep Learning projects

Language: Jupyter Notebook - Size: 6.7 MB - Last synced: 3 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.61 MB - Last synced: 4 months ago - Pushed: 8 months ago - Stars: 8 - Forks: 0

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

Language: Jupyter Notebook - Size: 546 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

goessl/MachineLearning

An easy neural network for Java!

Language: Java - Size: 42 KB - Last synced: 3 months ago - Pushed: about 5 years ago - Stars: 127 - Forks: 35

openworld42/Backpropagation

Neural backpropagation with examples and training (Java)

Language: Java - Size: 403 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

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

Language: Shell - Size: 404 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0

chiapeilin/Neural-Network

The code of forward propagation , cost function , backpropagation and visualize the hidden layer.

Language: Jupyter Notebook - Size: 919 KB - Last synced: 8 months ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 0

bmouler/neural-financial-prediction-encog-java

Language: Java - Size: 8.52 MB - Last synced: about 1 month ago - Pushed: about 10 years ago - Stars: 8 - Forks: 7

HarveyBrezinaConniffe/MNIST-NeuralNet

A implementation of a Neural Network in vanilla python that trains on the MNIST handwritten digit classifiction problem.

Language: Python - Size: 14.6 KB - Last synced: 9 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

Bharati2301/Algorithms

Language: Jupyter Notebook - Size: 648 KB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 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.

Language: Jupyter Notebook - Size: 795 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

nikhildagarwal/Number_Classifier_ML

Python neural network built from scratch. Uses Machine Learning algorithms to correctly classify handwritten numbers into digits.

Language: Python - Size: 32.8 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

soheilabadifard/Neural_Network_Regressor

Neural Networks scratch

Language: Python - Size: 28.3 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

JLeigh101/deep-learning-challenge

NU Bootcamp Module 21

Language: Jupyter Notebook - Size: 27.3 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

ramapitecusment/student_academic_performance

Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet

Language: R - Size: 119 KB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 1

rtflynn/Cifar-Autoencoder

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Language: Python - Size: 11.2 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 54 - Forks: 6

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.

Language: Python - Size: 87.7 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 20 - Forks: 2

daelsepara/DeepNeuralNetworkClassifier

Deep Neural Network Classifier for the Win/Linux/OSX platform based on the GTK# Framework

Language: C# - Size: 846 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

Yashodhanvivek/Neural_Network_Scratch

This code implements neural network from scratch without using any library

Language: Python - Size: 5.86 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

hknakst/artificial-neural-networks-YapaySinirAglari-

one layer and two layer neural networks

Language: C++ - Size: 1.11 MB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 3 - Forks: 0

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

"Deep Neural Network" from Scratch

Language: Jupyter Notebook - Size: 3.89 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

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

"One Hidden Layer Neural Network" from Scratch

Language: Jupyter Notebook - Size: 878 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

Suvodeep-Das/Deep-Learning

This repository covers the practical applications of Deep Learning

Language: Jupyter Notebook - Size: 135 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

LanzaSchneider/GenannSharp

Genann library port to C#, simple neural network library in ANSI C

Language: C# - Size: 5.86 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 0

LanzaSchneider/GenannSharpUnsafe

Genann library port to C# (unsafe version), simple neural network library

Language: C# - Size: 5.86 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

parham1998/Neural_Style_Transfer

Implementation of Neural Style Transfer algorithm with PyTorch library

Language: Python - Size: 10.1 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

anubhavsaxena14/Threat-Detection-using-Sentiment-Analysis

Threat Detection System using Hybrid (Machine Learning + Lexical Analysis) learning Approach.

Language: Python - Size: 44.9 KB - Last synced: over 1 year ago - Pushed: about 7 years ago - Stars: 6 - Forks: 6

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

Deep-Learning neural network to analyze and classify the success of charitable donations.

Language: Jupyter Notebook - Size: 5.15 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 1

mntalha/CNN-Visualize-Feature-Maps

Illustrate how to show output of images between hidden layers.

Size: 1.95 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

palowenstein/kevin-flynn-js-quizz

Javascript powered 'Multiple Choices Question' about Javascript fundamentals. Features 20 questions x 4 choices = 80 choices to pick from, a 5 minutes time limit, bonus and penalty points, on/off high score table featuring player names, points. High score table can be cleared at any moment. 100% Vanilla JS.

Language: JavaScript - Size: 596 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 22.5 KB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0

fredericoschardong/ffnet-single-hidden-layer-hyper-parameterization

Python implementation that explores how different parameters impact a single hidden layer of a feed-forward neural network using gradient descent

Language: Python - Size: 2.41 MB - Last synced: about 2 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

fredericoschardong/thyroid-hyper-parameterization

A sklearn-driven script to learn the best parameters for MLP to classify a thyroid dataset

Language: TeX - Size: 588 KB - Last synced: about 2 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

anujdutt9/CNN-Deep-Layer-Filters-Visualization

CNN Deep Layer Filters Visualization using Tensorflow.

Language: Python - Size: 22.1 MB - Last synced: about 1 month ago - Pushed: almost 7 years ago - Stars: 2 - Forks: 0

JDE65/Neural_network

Multi hidden layers neural network in Octave for classification as generalization from Stanford Class CS229 on Machine learning

Language: MATLAB - Size: 40.1 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

atul04/Feed-Forward-Neural-Network-Based-Classifier-Facebook-Post

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

Language: Python - Size: 12.1 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

sbharadwajj/Hidden-layer-representation

Visualisation of Hidden layers of a Sequential model

Language: Jupyter Notebook - Size: 375 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

prateeksawhney97/Planar-Data-Classification-with-One-Hidden-Layer

Implementing a 2-class Classification Neural Network with a Single Hidden Layer

Language: Python - Size: 4.88 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 0

adityachechani/Neural-Networks

1. Understand how neural networks work 2. Implement a simple neural network 3. Understand the role of different parameters of a neural network, such as learning rate

Language: Jupyter Notebook - Size: 247 KB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 0 - Forks: 1

alpteko/Xor

Language: Jupyter Notebook - Size: 408 KB - Last synced: over 1 year ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

Related Keywords
hidden-layers 44 neural-network 22 machine-learning 17 python 15 deep-learning 11 artificial-neural-networks 8 numpy 7 neurons 6 backpropagation 6 activation-functions 4 artificial-intelligence 4 mnist 4 prediction 4 data-science 4 neural-networks 4 neural 4 python3 4 tensorflow 4 ann 4 predictive-modeling 4 genetic-algorithm 3 pandas 3 tiny 3 java 3 pytorch 3 convolutional-neural-networks 3 visualization 2 tanh 2 csharp 2 keras 2 sigmoid 2 from-scratch-in-python 2 from-scratch 2 deep-neural-networks 2 perceptron 2 scratch 2 dataframe 2 get-dummies 2 model-optimization 2 model-training-and-evaluation 2 classification 2 relu-activation 2 sigmoid-activation 2 analysis 2 hyperparameter-optimization 2 logistic-regression 2 classification-model 2 seaborn 2 nn 1 minibatch-sgd 1 vectorization 1 weight-initialization 1 delta 1 multilayer-neural-network 1 multilayer-perceptron-network 1 min-max 1 perceptron-learning-algorithm 1 yapay-sinir-aglari 1 flatten-layers 1 likes 1 neuron 1 javascript 1 autoencoder 1 cifar10 1 convolutional-autoencoders 1 convolutional-layers 1 xor 1 reconstructed-images 1 l2-regularization 1 strided-convolutions 1 classification-algorithm 1 softplus 1 deep-neural-network 1 adam-optimizer 1 sigmoid-function 1 relu-layer 1 posts 1 one 1 normalization 1 epoch 1 quizz 1 facebook 1 timer 1 encoding 1 feed-forward-neural-networks 1 ffnet 1 hyper-parameter 1 hyper-parameter-optimization 1 mlp 1 mlp-classifier 1 sklearn 1 thyroid-dataset 1 dropout 1 python35 1 decay-rate 1 character-recognition 1 octave 1 hot 1 feedforward-neural-network 1 unsafe 1