tanh

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Here are 40 public repositories matching this topic...

pkmanwani / CharacterNeuralNet

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Neural networks for character recognition

neural-network sigmoid tanh

Updated Apr 28, 2017
MATLAB

aysebilgegunduz / FeedFwBackProp

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Simple multi layer perceptron application using feed forward back propagation algorithm

machine-learning deep-learning delta momentum adaline sigmoid tanh multilayer-perceptron sigmoid-function relu

Updated Nov 19, 2017
Python

MElHuseyni / Visualization-Derivatives-of-Activation-Functions

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visualization deep-learning tanh sigmoid-function relu

Updated Mar 17, 2018
Jupyter Notebook

rishav08 / 1layer_2layer_4layer_NN

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Developed Neural Network (NN) having one hidden layer, two hidden layers and four hidden layers, besides the input and output layers. Tested with Sigmoid, tanh and ReLu activation function. Used Scikit learn for pre-processing data.

scikit-learn machine-learning-algorithms python3 neural-networks sigmoid tanh relu

Updated Mar 19, 2018
Python

kobiso / GAAF-keras

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GAAF implementation on Keras

activation tanh relu gradient-acceleration gaaf

Updated Aug 31, 2018
Python

tech-espm / pic-plantrecogniser

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Implementation of an ANN for recognisement of the Iris plant-family

neurons ann propagation backpropagation sigmoid tanh relu

Updated Nov 3, 2018
Java

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

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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

Updated Nov 6, 2018
Python

srinadhu / AML_Assignments

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Advance Machine Learning (CSL 712) Course Lab Assignments

numpy pytorch lstm rnn logistic-regression music-generation backpropagation adagrad sigmoid tanh many-to-one leaky-relu adam-optimizer relu sgd-momentum two-layer-neural-network

Updated Dec 1, 2018
Jupyter Notebook

koryakinp / activators

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Artificial Neural Networks Activation Functions

ann sigmoid tanh relu activation-functions

Updated Dec 8, 2018
C#

achyutb6 / neural-network

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Neural network with 2 hidden layers

machine-learning neural-network tanh sigmoid-function relu utdallas cs6363

Updated Dec 25, 2018
Python

dhawal777 / Neural-Network

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Neural Network implementation from scratch along with its analysis with different type of activation function and with variation in hidden layer size and depth.

neural-network jupyter-notebook matplotlib tanh sigmoid-function relu

Updated Mar 28, 2019
Jupyter Notebook

anshul1004 / NeuralNetwork

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Neural Network from scratch without any machine learning libraries

Updated Dec 13, 2019
Python

dserbano / machine_learning_smartnet_2

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2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.

python machine-learning dropout neural-networks classification convolutional-neural-networks support-vector-machines multi-label-classification convolutional radial-basis-function backpropagation-algorithm softmax tanh pooling sigmoid-function relu digit-classifier lecun

Updated Feb 28, 2020
Python

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

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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.

python machine-learning neural-network prediction scratch hidden-layers sigmoid tanh