I couldnt see any videos or approach for creating deployable models or creating APIs from this solution of Deep Learning Course. Can you please help us in how to do with paperspace or anyother approach .
There was a discussion regarding this not long ago.
Recently I have seen some blogposts and talks describing putting DL/ML models in production by packaging them as api’s. I would like this thread to be a resource for getting started approaches, learning resources, best practices and tutorials on this topic.
I will be updating this thread as I explore this domain and build some projects. Meanwhile, I am sure people here have done similar things, I would like for those people to share their experiences and approaches.
Looking forward to…
Please take a look there. They should serve as a good starting point.
And another similar discussion here.
Hello everyone and hi
@jeremy , i am like a newbie to deeplearning and fastai library. I have finished the first course and i trained a model for image classification. After that i want to use this model in a web api to do live predictions. What should i do to use the model, what packages should i install in my web sever in order to be able to load the model and use it for prediction?