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.
Simple multi layer perceptron application using feed forward back propagation algorithm
Implementation of an ANN for recognisement of the Iris plant-family
Neural Network from scratch without any machine learning libraries
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
I have implemented some AI projects from scratch implementation without explicit use of the built-in-libraries and thus added to this repo.
Deep Learning model for predicting success after donation coded in Google Colab
Revising concepts of CNN by building them from scratch using NumPy.
Artificial Neural Networks Activation Functions
GAAF implementation on Keras
Time series forecast using RNN and LSTM
2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
This repo is created for learning about computer vision and pattern recognition
Exploration of teamwork in neural networks
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