Topic: tanh Goto Github
Some thing interesting about tanh
Some thing interesting about tanh
tanh,Neural network with 2 hidden layers
User: achyutb6
tanh,Neural Network from scratch without any machine learning libraries
User: anshul1004
tanh,Multi-Layer Neural Network
User: ap-atul
tanh,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.
User: ashwanikumarkashyap
tanh,Neural-Net-Numpy(NNN) is a simple python package for training neural networks using only numpy components
User: atkamara
tanh,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
User: atul04
tanh,Simple multi layer perceptron application using feed forward back propagation algorithm
User: aysebilgegunduz
tanh,This repo is created for learning about computer vision and pattern recognition
User: cybercat37794
tanh,Neural Network implementation from scratch along with its analysis with different type of activation function and with variation in hidden layer size and depth.
User: dhawal777
tanh,A data classification using MLP
User: dlwsdqdws
tanh,2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
User: dserbano
tanh,Deep Learning
User: epsoft
Home Page: https://www.epsoft.ir
tanh,Exploration of teamwork in neural networks
User: freire-guido
tanh,I have implemented some AI projects from scratch implementation without explicit use of the built-in-libraries and thus added to this repo.
User: hasanur-rahman
tanh,Time series forecast using RNN and LSTM
User: imane-ayouni
tanh,"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
User: jelhamm
tanh,GAAF implementation on Keras
User: kobiso
tanh,Artificial Neural Networks Activation Functions
User: koryakinp
tanh,Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
User: mattmoony
tanh,Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
User: mmaric27
tanh,Deep Learning model for predicting success after donation coded in Google Colab
User: mmcdan13
tanh,Classes Angle, GeoPos, UTM32 and some other Math functions
User: olimilo1402
tanh,Neural networks for character recognition
User: pkmanwani
tanh,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.
User: rishav08
tanh,Implementation of CORDIC Algorithms Using Verilog
User: sadrasabouri
tanh,Advance Machine Learning (CSL 712) Course Lab Assignments
User: srinadhu
tanh,Compute the hyperbolic cotangent of a number.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
tanh,Compute the hyperbolic tangent of a number.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
tanh,Create an iterator which evaluates the hyperbolic tangent for each iterated value.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
tanh,Faster Java implementations of hypot, expm1, cos, sinh, cosh, tanh, asin, acos, atan and atan2
User: stefan-zobel
tanh,Implementation of an ANN for recognisement of the Iris plant-family
Organization: tech-espm
tanh,Comparison of common activation functions on MNIST dataset using PyTorch.
User: unvercan
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