jamesxv7

Ente is a tremendous proposal. I don't know why I hadn't heard of it before, but I don't think it meets what I'm looking for. But the fact that the software is completely open is impressive.

From all the comments I've been reading, this combination seems solid. I'll definitely be checking it out thoroughly.

Thanks nico for sharing your experience! That's really helpful. The idea of using OpenCV to create a processing pipeline for face detection before passing it to Gemma is brilliant I hadn't thought of that. I'll definitely look into using gemma with ollama.

And for sure, if I get this to a point where it's open-source, I'll post the link here!

I've heard a lot about this topic recently but I can't find stories that capture experience using these metrics. Will it be possible to know some of these stories?

Is this an ongoing course or anyone can join and read the material at own pace?

Impressed with your response, thanks for the clarity you have presented through your examples. Once again, thanks a lot.

There is a question I have been asking for quite some time. It is known that Python is the language of choice when practicing ML. But, can similar results be achieved using Powershell? What makes Python superior to Powershell when making models for ML?

Actually this is a great idea. Seems I'll try this approach for 2020 Q1.

Excellent recommendation. I really appreciate all the recommendations proposed. Happy New Year eachro.

I'm impressed by the responses generated in this conversation. My expectation was to get several links and start browsing each one of them. However, many have agreed that the best way is to start with a specific example and start creating a model. Many times I have tried to answer that same question, "which model to apply"? How do I know I'm not re-inventing the wheel?