Simple Neural Network FrameWork

"TTF" is an open source package for machine learning that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.

"TTF" is built on python, wait for a C++ version soon.

Keep up-to-date with release announcements and security updates by checking this repo

This repo will take you through all the steps to create and train a deep neural network.

Install

Use the package manager pip to install all the Prerequisites and build the neural network

1. Check python version, if found

python

2. Install PIP on windows

python get-pip.py

3. Install Terminatetensorflow

pip install Terminatetensorflow

4. Check for updates

pip install Terminatetensorflow --upgrade

Usage

$ import Terminatetensorflow as TTF

Prerequisites

1. pip install numpy  
2. pip install matplotlib 
3. pip install pickle-mixin
4. pip install pandas
5. sudo apt-get install python-PIL

Architecture

Traing the model follows the following pattern, illustrated in the image above

• Load the data
• Intialize the parameters and feed forward
• compute the cost
• backward propagation and update parameters
• predict and visualize accuracies

Demo

• A step by step network to train MNIST numbers data set (Accuracy 98.9%)

• Restore a model and predict

• Single-predict

• CNN - MNIST,