How to use Keras in Anaconda

In this shot, we will go over how to use Keras with Anaconda.

Keras is a minimalist, highly modular neural networks library written in Python and capable of running on top of either TensorFlow or Theano.

Read more about Keras here.

Steps

1. Download and install the latest Anaconda Navigator.
2. After installation, launch the Anaconda Prompt.
3. Create a new conda environment using:
   conda create --name KerasExample
   If you already have a conda environment set up, you can skip this step.
4. Activate the conda environment using:
   activate KerasExample
5. If you have an NVIDIA graphics card, you can install the GPU version:
   conda install -c anaconda keras-gpu
   Otherwise, you can install the CPU version:
   conda install -c anaconda keras
6. Wait for the installation to complete.

That’s it. You have installed Keras in your conda environment!