Submitted by adharanda11 t3_127eett in deeplearning
I have completed the Machine learning and Deep Learning specializations by Andrew NG. Now I feel like I have better understanding of deep learning. Yes I want to tackel the deep learning book by Yoshua Bengio, which is theoretical (which I will be doing when I start my master's degree).
I want to learn how to actually develop good deep learning models, which is something that is not taught. Most of the content I found about deep learning is theoretical, but how to learn how to create models as a beginner.
I came across Huggingface which has prebuilt models and requires very little twerking. Is it worth developing projects using this as a beginner? Can you guys guide me on how to proceed? Like any resource that I can use to develop my own models? Or resource from where I can learn how to use weights of other models to train my own?
Your help will be really appreciated.
IshanDandekar t1_jedz4db wrote
Projects. Only way to test what you have learned is projects. In Andrew Ng's deep learning course, he has assignments pertaining to a topic/application of deep learning. Easiest way to expand this is to make a whole project out of it. Best way to show your skills.
As you said, yes there are resources to get weights for models, look into model zoos. Hope this helps!