Hi, I did exactly the same thing, successfully created the environment, restarted anaconda and created Jupyter Notebook but there was no other kernel apart from the base one. I really do not understand reason why the kernel I created following the instructions did not appear. Does it have something to do with CUDA & CUDNN (NVIDIA GPU SUPPORT) or is problem something else? I am really disappointed because I was so adamant that I would be able to take this (Deep learning TensorFlow 2) course and obtain the main skills but I am stuck in the *Setting Up the Environment* section. I have watched lots of videos about the installation, some say we need GPU to use TensorFlow others don't, as of now I am really confused because in your video you did not mention anything in relation to GPU. Please, help me set this environment (create the kernel) and I would highly appreciate if you do, otherwise I will not be able to take this course. Thanks, Kanan

1. conda create --name tf python=3.7 2. conda activate tf 3. pip3 install --user tensorflow 4. pip install ipykernel I did have the same problem. Apply these procedures in anaconda prompt. It worked for me.

Nurlan, you're the man. Thank you very much

In case the mentioned procedures above don't work well for you like me, my solution is, after this procedure, 4. pip install ipykernel I add one more command to add venv to the jupyter. python -m ipykernel install --user --name=myenv

Followed all the instructions. Still I can't see the tensorflow kernel. tried the following as well 1. conda create --name tf python=3.7 2. conda activate tf 3. pip3 install --user tensorflow 4. pip install ipykernel python -m ipykernel install --user --name=myenv Pls guide..