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softmax-activation

Here are 4 public repositories matching this topic...

Siddhipatade / Activation-function

Activation Function which used in neural network

python jupyter-notebook neural-networks sigmoid-function activation-functions relu-activation tanh-activation softmax-activation linear-activation-function

Updated May 28, 2023
Jupyter Notebook

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)

Updated Aug 15, 2022
Jupyter Notebook

AVINASH-KURREY / DEEP-LEARNING

INTRODUCTION OF DEEP LEARNING

neural-network layers leaky-relu activation-functions relu-activation tanh-activation hiddenlayer softmax-activation sigmoid-activation-function

Updated Feb 22, 2024
Jupyter Notebook

ShreyashShinde / Leafy

AI Based Plant Leaf Disease Detection System Using Flask Backend

javascript css python html flask neural-network tensorflow cnn aiml flask-application densenet matplotlib convolutional-neural-networks keras-neural-networks adam-optimizer trained-models relu-activation maxpooling2d softmax-activation

Updated Dec 19, 2023

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