Neural Network from scratch without any machine learning libraries
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Updated
Dec 13, 2019 - Python
Neural Network from scratch without any machine learning libraries
A simple neural network with backpropagation used to recognize ASCII coded characters
Simple DNN code, adapted from Nielsen
This is a template I made while building a Deep Learning project.
a multilayer neural net written in go
Implementing Artificial Neural Network training process in Python
Predict airline passenger amount with deep learning neural networks by using the Keras framework and Box & Jenkins Airline Passengers Dataset.
Applying neural network with adam optimizer on heart failure clinical records dataset to compare test errors of sigmoid, tanh, and relu activation functions
Deep Forward Architecture From Scratch
Image Classification, one of the techniques belonging to object recognition can be used in analysing objects appearing in an image.
A TensorFlow C++ extension implementing a piecewise-linear approximation of sigmoid activation function used in Beatmup.
A simple program in python to illustrate the workings of a neural network
Deep-Learning neural network to analyze and classify the success of charitable donations.
Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
Predicting if a patient is diabetic or not by training a classification model using both Logistic regression and Artificial neural networks
Simple densely connected neural network with sigmoid activation.
Used ANN to predict whether user will keep the subscription or not.
How Neural Networks work inside
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