How to save and load tensorflow models
Model progress can be saved during and after training. This means a model can resume where it left off and avoid long training times. Saving also means you can share your model and others can recreate your work. When publishing research models and techniques, most machine learning practitioners share:
1. code to create the model, and
2. the trained weights, or parameters, for the model
Sharing this data helps others understand how the model works and try it themselves with new data.
Link to the source code: https://onepagecode.substack.com/p/sa...
Written Explanation here: https://onepagecode.substack.com/p/sa...
Please subscribe to my newsletter. Read exclusive articles, book chapter and hundreds of source code, which you can use to put on your resume to make it shine. Subscribing to my newsletter also helps me a lot.
https://onepagecode.substack.com/
Podcast on Science/Astronomy: / @empyreal5712
Read millions of stories here: https://bit.ly/Read-Millions-of-Stories
All the explanation are published on medium for free, please follow me on medium. Link below.
You can find the code here: / usernamejack
Please subscribe to my newsletter on substack, I publish details articles on data science and machine/deep learning. Please do subscribe it really helps me a lot. All of the source is also published on substack.
https://onepagecode.substack.com/
