This repository contains a number of deep learning TensorFlow 2.x Keras-based projects written in Python 3.7.
The following is a list of the projects included in this repository:
- Image Filter Fashion MNIST: A Keras-based deep learning autoencoder that filters out noise from a given image.
- Mushroom Dataset Autoencoder: A Keras-based autoencoder based on the Mushroom Dataset employed in dimensionality reduction.
- Malaria Predictor: A Keras-based deep learning CNN to predict whether a cell has been infected by malaria or not.
- Classification with DFFs
- Iris Dataset Classifier: A Keras-based deep feed-forward neural network classifying iris flower species given the input parameters provided.
- Mushroom Dataset Classifier: A Keras-based deep feed-forward neural network classifying mushrooms as being either edible or poisonous given the input parameters provided.
- Regression Analysis with DFFs
- Loan Predictor: A Keras-based deep feed-forward ANN to predict whether a customer is likely to repay a loan, or to default on it.