Belgium

Implementation of TensorFlow in Python. This app is intended to analyze Belgium traffic (image) data.

References

• TensorFlow Installation
• TensorFlow Tutorial
• TensorFlow vs NumPy
• Tutorials for TensorFlow
• Scikit Image
• Python3 LRU Cache
• Matplotlib
• OpenCV2
• Save and restore in TensorFlow

Why TensorFlow?

Numpy has N-d array support but does not have methods to create tensor functions, can’t automatically compute derivatives and it can’t take advantage of GPU.

TensorFlow provides primitives for defining functions on tensors and automatically computing their derivatives. TensorFlow computations define a graph that has no numerical value until evaluated.

Data Visualization

Usage

Install the virtual environment.

virtualenv -p python3 .env
source .env/bin/activate

First, download the datasets from here. Then, execute the AI script:

clear; python3 think.py