Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
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Updated
Jun 21, 2022 - Jupyter Notebook
Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
Visualisation of Hidden layers of a Sequential model
Deep Learning
Neural Networks scratch
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
Illustrate how to show output of images between hidden layers.
"Deep Neural Network" from Scratch
Neural backpropagation with examples and training (Java)
Implements Back propagation algorithm for multi-layer perceptron in incremental mode
This is an ANN model template which uses a tanh activation function on an existing make_moons dataset. The number of hidden layers can be increased to improve prediction precision and accuracy.
Javascript powered 'Multiple Choices Question' about Javascript fundamentals. Features 20 questions x 4 choices = 80 choices to pick from, a 5 minutes time limit, bonus and penalty points, on/off high score table featuring player names, points. High score table can be cleared at any moment. 100% Vanilla JS.
This code implements neural network from scratch without using any library
Implementation of Neural Style Transfer algorithm with PyTorch library
Create a neural network through TensorFlow and Keras to build a model which has the ability to assess an organisation's ability to be successful with funding from the Alphabet Soup charity
Implementing a 2-class Classification Neural Network with a Single Hidden Layer
The nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures
In this project, we build and train a model to predict if a customer will defer on a particular loan on an imbalanced dataset. We'll build a layered ANN for this and try to make our model better using Hyperparamater Optimization, before exploring Oversampling to make it more accurate.
Genann library port to C# (unsafe version), simple neural network library
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