Setting up an env.yaml to run the tensorflow lab notebooks locally

Course Q&A Machine Learning Specialization Advanced Learning Algorithms
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Course2: Week1: Optional Lab: C2_W1_Lab01_Neurons_and_Layers

Is there a env.yaml I can use to build a conda environment to run this tensorflow lab locally?

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The courses here do not provide that kind of information, but if you already know about conda then you probably have the technical ā€œchopsā€ to do it yourself. Hereā€™s a thread which will get you started down that road. Actually scanning through that thread again (sorry, itā€™s been a while), I see that one of the respondents included an env.yaml file, but that thread is 4 years old. The assignments do get updated occasionally so you might be better off generating your own based on the current ā€œstate of playā€. Also note that not every assignment has the same setup and that thread is from one of the DLS courses.

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Thanks for getting back to me so promptly, Iā€™m new here and donā€™t know whatā€™s what yet. Iā€™ll set up an env for myself, it was the markup for math formulars etc Iā€™m not familiar with but I got most of it working well enough.

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Welcome to the party! There may be other browser plugins for LaTeX (if thatā€™s what you were referring to), but I think the most common one is MathJax. :nerd_face:

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So I have created a conda env that works for ā€˜Advanced Algorithmsā€™ iā€™ve only tested for weeks 1 & 2. To replicate do the followingā€¦
create a new env :-

conda create -n tf-cpu tensorflow-cpu
conda activate tf-cpu
conda install jupyter notebook ipympl mathjax matplotlib scikit-learn

this env ā€˜tf-cpuā€™ works and will run the course labs locally on your PC. You can install any additional packages as needed in future courses/weeks.

I couldnā€™t get the course labs to work using tensorflow-gpu

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Great! Thanks for confirming the instructions that worked for you. That will help other people who have the same question.