home > Machine Learning

*Includes theories on deep learning.*

## Machine Learning Python

Deep Learning and Neural Network with kero

1. PART 1: preparing data

2. PART 2: train model and plot its progress

3. MNIST Neural Network test 1

Machine Learning with keras

1. Neural Network with keras: Remainder Problem

2. Convolutional Neural Network with keras: MNIST

DNN Regressor in tensorflow (pre-processed using kero)

1. Part 1. Synthetic Regression

2. Part 2.1. Synthetic Regression. Train and save the model.

3. Part 2.2. Synthetic Regression. Load model and predict.

*Includes the use of Tensorflow deep neural network and the showcase of python package kero for pre-processing.*

## Machine Learning MATLAB

*Includes neural network with strange gradient descent.*

*Includes the use of Tensorflow object detection API, setup, training and pre-processing.*