Installation guide to setup Keras with Tensorflow as a backend for Deep learning in windows

Deep learning is a state of art technology which enables whole new dimension in the era of Robotics and Machine Learning.

Keras is a high-level neural networks API, written in Python and capable of running on top of Tensor flow.

• Supports both convolutional networks and recurrent networks, as well as combinations of the two.
• Runs effectively on CPU 

with the Help of Tensor flow and Keras, we can develop and Train ML models using our General Purpose Computers.

Before installing Keras, we need to install one of its backend engines like TensorFlow, Theano, or CNTK. We recommend the TensorFlow backend.

Let's get started to setup powerful and open source libraries in our python Environment:

To run tensor flow in the computer we need to install Python 3.6.X in the system to check installed python version type the following line in command terminal

python

#1 Installing Tensor flow

Installing Tensorflow is hassle free using pip command

pip install tensorflow

To check if tensor flow installed correctly open cmd and type following commands sequentially:

python
import tensorflow

if you did not get any errors,congrats!! you have successfully installed tensorflow

#2 Installing Keras

once after installing tensor flow we can install keras

Before that we install a few necessary python Packages

pip install sklearn
pip install pillow
pip install h5py

finally Installing High level Neural Network API-Keras

pip install keras

That's it, your Machine is ready to train and deploy Nueral Networks and Machine Learning algorithms.