softmax-activation

There are 0 repository under softmax-activation topic.

Siddhipatade / Activation-function
Activation Function which used in neural network
activation-functions jupyter-notebook neural-networks python sigmoid-function relu-activation tanh-activation linear-activation-function softmax-activation
Language:Jupyter Notebook 2
SameetAsadullah / Neural-Network-Implementation
Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)
activation-functions adagrad adam-optimizer cross-entropy-loss gradient-descent hinge-loss jupyter-notebook leaky-relu loss-functions mean-squared-error neural-network optimizers pycharm pycharm-ide python python3 relu-activation rmsprop sigmoid-activation softmax-activation
Language:Jupyter Notebook 1
AVINASH-KURREY / DEEP-LEARNING
INTRODUCTION OF DEEP LEARNING
activation-functions hiddenlayer layers leaky-relu neural-network relu-activation sigmoid-activation-function softmax-activation tanh-activation
Language:Jupyter Notebook 0
ShreyashShinde / Leafy
AI Based Plant Leaf Disease Detection System Using Flask Backend
adam-optimizer aiml cnn convolutional-neural-networks css densenet flask flask-application html javascript keras-neural-networks matplotlib maxpooling2d neural-network python relu-activation softmax-activation tensorflow trained-models
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