Topic: "hidden-layers"
codeplea/genann
simple neural network library in ANSI C
Language: C - Size: 73.2 KB - Last synced at: 3 days ago - Pushed at: 10 months ago - Stars: 2,105 - Forks: 243
goessl/MachineLearning
An easy neural network for Java!
Language: Java - Size: 42 KB - Last synced at: 13 days ago - Pushed at: about 6 years ago - Stars: 126 - Forks: 35
ahmedfgad/NumPyANN
Implementation of Artificial Neural Networks using NumPy
Language: Python - Size: 10.6 MB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 100 - Forks: 51
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 at: about 2 years ago - Pushed at: over 6 years ago - Stars: 54 - Forks: 6
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 at: 30 days ago - Pushed at: over 1 year ago - Stars: 21 - 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 at: about 2 years ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 2
bmouler/neural-financial-prediction-encog-java
Language: Java - Size: 8.52 MB - Last synced at: about 1 year ago - Pushed at: almost 11 years ago - Stars: 8 - Forks: 7
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 at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 6 - Forks: 6
LanzaSchneider/GenannSharp
Genann library port to C#, simple neural network library in ANSI C
Language: C# - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - 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 at: 7 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0
Pegah-Ardehkhani/Deep-Neural-Network-From-Scratch
"Deep Neural Network" from Scratch
Language: Jupyter Notebook - Size: 3.89 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 3 - 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 at: 3 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0
hknakst/artificial-neural-networks-YapaySinirAglari-
one layer and two layer neural networks
Language: C++ - Size: 1.11 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 0
anujdutt9/CNN-Deep-Layer-Filters-Visualization
CNN Deep Layer Filters Visualization using Tensorflow.
Language: Python - Size: 22.1 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 2 - 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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
JLeigh101/deep-learning-challenge
NU Bootcamp Module 21
Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
daelsepara/DeepNeuralNetworkClassifier
Deep Neural Network Classifier for the Win/Linux/OSX platform based on the GTK# Framework
Language: C# - Size: 846 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
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 at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
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 at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1
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 at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
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 at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
zenetio/Neural-Networks-and-Deep-Learning
Deep Learning projects
Language: Jupyter Notebook - Size: 6.7 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - 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 at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0
pavithramalkibasnayake/Extended-CDEN
The developed R code implements an Extended Conditional Density Estimation Network Creation and Evaluation model designed for forecasting distribution parameters, with a generalized network architecture capable of accommodating any number of hidden layers, hidden neurons, and activation functions.
Language: HTML - Size: 326 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Niteshchawla/Logistics-NN-Regression
The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
karishmasd/Planar-data-classification
Language: Jupyter Notebook - Size: 881 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
ablanco1950/Fracture.v1i_Reduced_SSD
# Fracture.v1i_Reduced_SSD From a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1, which represents a reduced but homogeneous version of that file, try to perform fracture detection using SSD. A version with VGG16 and another with only linear layers are presented
Language: Python - Size: 5.82 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
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 at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - 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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
openworld42/Backpropagation
Neural backpropagation with examples and training (Java)
Language: Java - Size: 403 KB - Last synced at: over 1 year ago - Pushed at: 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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
soheilabadifard/Neural_Network_Regressor
Neural Networks scratch
Language: Python - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Bharati2301/Algorithms
Language: Jupyter Notebook - Size: 648 KB - Last synced at: over 1 year ago - Pushed at: over 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 at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
LanzaSchneider/GenannSharpUnsafe
Genann library port to C# (unsafe version), simple neural network library
Language: C# - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - 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 at: almost 2 years ago - Pushed at: over 3 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 at: about 2 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
mntalha/CNN-Visualize-Feature-Maps
Illustrate how to show output of images between hidden layers.
Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: over 3 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 at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - 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 at: about 1 year ago - Pushed at: about 4 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 at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
krishcy25/NeuralNetwork-ModelBuilding-with-Keras-and-TensorFlowBackend
This repository focuses on building several versions of Deep Learning Neural Network Models (Sequential Model, Model with increase in hidden layers, Model with Regularization to avoid overfitting) with Keras that uses TensorFlow Back end.
Language: Jupyter Notebook - Size: 306 KB - Last synced at: 8 months ago - Pushed at: almost 5 years ago - Stars: 0 - 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 at: about 2 years ago - Pushed at: almost 5 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 at: about 2 years ago - Pushed at: over 6 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 at: about 2 years ago - Pushed at: over 6 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 at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0
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 at: 12 months ago - Pushed at: almost 7 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 at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 1
alpteko/Xor
Language: Jupyter Notebook - Size: 408 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
