In this tutorial, we will walk through the steps to install TensorFlow and Keras in Jupyter Notebook using Anaconda. This method is considered the right way as it ensures a clean and efficient installation without any conflicts or issues.
Before we begin, make sure you have Anaconda installed on your system. If not, you can download and install it from the official Anaconda website (https://www.anaconda.com/products/individual).
Once Anaconda is installed, follow the steps below to install TensorFlow and Keras in Jupyter Notebook:
Step 1: Create a new conda environment
Open Anaconda Navigator and click on the ‘Environment’ tab. Click on the ‘Create’ button to create a new environment. Enter a name for the environment (e.g., tensorflow_env) and select the Python version (e.g., 3.7).
Step 2: Install TensorFlow
In the new conda environment, click on the ‘Home’ tab and select the new environment from the drop-down menu. In the ‘Home’ tab, select ‘Not installed’ from the drop-down menu and search for ‘tensorflow’. Check the box next to TensorFlow and click on the ‘Apply’ button to install it.
Alternatively, you can install TensorFlow using the conda command in the Anaconda Prompt. Open the Anaconda Prompt and type the following command:
conda install tensorflowStep 3: Install Keras
Similarly, you can install Keras using the conda command in the Anaconda Prompt. Type the following command:
conda install kerasStep 4: Install Jupyter Notebook
If you haven’t already installed Jupyter Notebook, you can do so using the conda command:
conda install jupyterStep 5: Launch Jupyter Notebook
Once TensorFlow, Keras, and Jupyter Notebook are installed, launch Jupyter Notebook by typing the following command in the Anaconda Prompt:
jupyter notebookStep 6: Verify the installation
To verify that TensorFlow and Keras are installed correctly in Jupyter Notebook, create a new Python notebook in Jupyter Notebook. Enter the following code to import TensorFlow and Keras:
import tensorflow as tf
import kerasRun the code to check if there are any errors. If there are no errors, TensorFlow and Keras are successfully installed in Jupyter Notebook using Anaconda.
That’s it! You have successfully installed TensorFlow and Keras in Jupyter Notebook using Anaconda the right way. You can now start using these libraries for deep learning tasks in Jupyter Notebook.
i followed it exactly how you did but it doesn't work
can someone tell how long does tensor flow take to install ?
there is not progress since last 15 minutes
It didn't work for two turns but successfully done in the thrice one.thanku sir
I have already install pytorch so when I write to install tensor flow ,then error will occur
Thanks a lot!!! This is the only solution that actually worked.
was very helpfull than kyou sir
once (mini)conda is installed, do
conda create -n jupy_tf -c conda-forge tensorflow jupyter
conda activate jupy_tf
jupyter notebook
So much thanks! It helped a lot.
it shows no module name ipykernel help!!!!
this didn't help me a bit
bless you
getting an error while creating new notebook in testenv
what should I do?
Thank you so much!
thx a lot , do you also teach ML and AI
I deleted everything and reinstalled everything two times. Then when I launched Jupyter and clicked on new, no Pythoin showed up and also my environment didn't show up like before.
I followed all the instructions. Then at the end, you said to get into Jupyter and click on New – testenv which I did. Then at the top of the screen, it said "kernel starting…" and it stays there forever and eventually says that it cannot connect to the kernel. So no programs can be run? I tried various videos on how to install everything and yours was the only one that seemed to work until the last step when nothing could be run.
4 hours later, did everything twice, finally this way it worked, thanks a lot
thanks man, you helped a lot with this video
This worked for me …kudos
thanks only last step was missed in the course