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GitHub topics: sigmoid-function

ritzvik/SimpleNeuralNetwork

Language: Python - Size: 18.3 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

rbhanush/Fast-and-Accurate-Deep-Neural-Network-Learning-by-ELUs

• Trained the network for MNIST dataset • Implemented neural network on MNIST dataset by using Sigmoid, ReLU, ELU as the activation function. • Analyzed network’s running time, error rate, efficiency and accuracy.

Language: Python - Size: 10.8 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

MElHuseyni/Visualization-Derivatives-of-Activation-Functions

Language: Jupyter Notebook - Size: 141 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

junaidfiaz143/First-NeuralNetwork

This is the code for "sigmoid binary classification without using and ML library" By M.Junaid Fiaz

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

corey33p/OCR_MLP

Three layer perceptron. Generates varied character images from scratch so does not depend on an existing dataset, like MNIST. Can train for an arbitrarily long time due to the open ended nature of the dataset. Contains a basic user interface.

Language: Python - Size: 12.4 MB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

MaverickTse/SigDecontrastAviutl

Sigmodial decontrast interface with IM backend

Language: C++ - Size: 17.6 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 0

MaverickTse/SigColorCUDA

Sigmoidal contrast working on RGB colorspace using CUDA. AviUtl Plugin.

Language: Cuda - Size: 165 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

MaverickTse/SigContrastAviutl

SigmoidalContrast interface with ImageMagick backend

Language: C++ - Size: 17.6 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

varunchitale/Stock-Prediction

Machine Learning//NN: Sigmoid function

Language: Python - Size: 651 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 2

gdangelo/CarND-Miniflow

Tensorflow Simplified: Linear and Sigmoid Layers, Forward and Back Prop, Stochastic Gradient Descent

Language: Python - Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

MaverickTse/SigColorAviutl

Sigmoidial color adj. with IM backend

Language: C++ - Size: 21.5 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

nekki-t/dlf-nd-p1

Language: Jupyter Notebook - Size: 493 KB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

martinkersner/ann-meetup

Practice of implementing Multilayer Perceptron trained with Stochastic Gradient Descent for Seoul AI Meetup on June 25, 2017.

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: about 2 months ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

Related Keywords
sigmoid-function 113 neural-network 37 machine-learning 35 python 25 deep-learning 24 logistic-regression 22 neural-networks 17 relu 17 backpropagation 14 gradient-descent 14 numpy 14 python3 12 classification 10 artificial-intelligence 10 tanh 9 machine-learning-algorithms 8 relu-activation 8 jupyter-notebook 8 artificial-neural-networks 7 matplotlib 7 mnist 6 softmax 6 sigmoid-activation 6 linear-regression 6 activation-functions 6 back-propagation 6 feedforward-neural-network 6 forward-propagation 5 convolutional-neural-networks 5 leaky-relu 5 backpropagation-algorithm 5 sigmoid 5 ai 4 tensorflow 4 pandas 4 pytorch 4 preprocessing 4 cpp 4 backpropagation-learning-algorithm 4 feature-engineering 4 multilayer-perceptron 4 aviutl-filter-plugin 4 binary-classification 4 aviutl-plugin 4 perceptron 4 regression 4 mnist-classification 3 rnn-tensorflow 3 mnist-dataset 3 regression-models 3 handwritten-digit-recognition 3 cross-entropy-loss 3 backward-propagation 3 scikit-learn 3 adam-optimizer 3 cost-function 3 keras 3 support-vector-machines 3 hyperparameter-optimization 3 sklearn 2 regularization 2 huggingface 2 classification-algorithm 2 dropout-rates 2 jupyter-notebooks 2 stochastic-gradient-descent 2 ann 2 activation 2 deeplearning 2 perceptron-neural-networks 2 delta-rule 2 radial-basis-function 2 neurons 2 knn 2 neuron 2 feature-selection 2 mlp 2 perceptron-learning-algorithm 2 relu-layer 2 neural-network-training 2 backpropagation-neural-network 2 principle-component-analysis 2 tanh-activation 2 lstm 2 deepneuralnetworks 2 vectorization 2 binarycrossentropy 2 pandas-dataframe 2 encoding 2 sklearn-library 2 softmax-regression 2 epoch 2 linear-function 2 data-science 2 nlp 2 transformation 2 aviutl 2 imagemagick 2 activation-function 2 deep-neural-networks 2