How to install tensorflow and keras in jupyter anaconda

How to install tensorflow and keras in jupyter anaconda

You can install TensorFlow and Keras in Jupyter Notebook by using the Anaconda environment by following these steps:

1. Open the Anaconda prompt:

   • Windows: Start menu -> Anaconda Prompt
   • macOS/Linux: Terminal

2. Create a new conda environment:

conda create -n tensorflow python=3.7

    3. Activate the environment:

conda activate tensorflow

    4. Install TensorFlow:

conda install tensorflow

    5. Install Keras:

    6. Launch Jupyter Notebook:

jupyter notebook

    7. In Jupyter Notebook, create a new notebook and verify that TensorFlow and Keras have been installed correctly by running the following code:

import tensorflow as tf
import keras
print(tf.reduce_sum(tf.random.normal([1000, 1000])))

If everything has been installed correctly, you should see the output of the TensorFlow operation without any errors.

Second Method

1. install in a virtual environment  Anaconda

Download Anaconda for your platform and choose the Python 3.6 version: https://www.anaconda.com/download

By downloading Anaconda, you get conda, Python, Jupyter Notebook and hundreds of other open source packages.

conda install — installs any software package.

Open Anaconda and then conda shell (CMD.exe  Prompt)

2. Install TensorFlow (including Keras)

# install pip in the virtual environment

# install Tensorflow CPU version

$ pip install --upgrade tensorflow # for python 2.7

$ pip3 install --upgrade tensorflow # for python 3.*

# install Keras (Note: please install TensorFlow first)

$ pip install Keras

 

# invoke python from your shell

$ python

# create a simple TensorFlow program inside the python interactive shell

>>> import tensorflow as tf

>>> hello = tf.constant('Hello, TensorFlow!')

>>> sess = tf.Session()

>>> print(sess.run(hello))

# Exit the python shell

Ctrl+D