For the past month I have been studying machine/deep learning, thus I have completed both the machine learning course and the deep learning specialization by Prof. Andrew Ng on coursera.
In these courses, the assignements in python are very guided, so I think I would have a hard time starting my own project from a blank notebook. I am looking for advice on where to go next. I would like to improve my applied skills. My goal is (in the long run), to be able to deploy AI systems (with frontend-backend interactions).
Here is a list of things I've considered as the next step:
- Deeplearning.ai's tensorflow specialization (however I fear it be outdated since tensorflow 2.x)
- Tensorflow 2 quickstart https://www.tensorflow.org/tutorials/quickstart/beginner
- Start my own little project from scratch and learn on the job
- Try some kaggle competitions
I am also considering the Deep Learning book by Goodfellow et al, however theory is not my main concern right now.