I took the Pytorch scholarship challenge this past December with Udacity. I couldn't make it to the nanodegree scholarship but the challenge course was really good in exposing me to the various facets of deep learning. The notebooks are free, but the videos really help explain some concepts well. For people who took the course, the videos are available for another year, so that helps.
I wanted to get a good grasp of DL but was floundering around before with so many sources and tutorials - and frameworks like Keras, Pytorch, TensorFlow etc. This course helped me make some decisions - like if I needed to get a developer's handle on DL, I would have to know Perceptrons, CNNs, RNNs, Style Transfer, Sentiment Prediction and GANs (even though GANs were not part of the course). And Pytorch would be my tool of choice.
I wanted to get a good grasp of DL but was floundering around before with so many sources and tutorials - and frameworks like Keras, Pytorch, TensorFlow etc. This course helped me make some decisions - like if I needed to get a developer's handle on DL, I would have to know Perceptrons, CNNs, RNNs, Style Transfer, Sentiment Prediction and GANs (even though GANs were not part of the course). And Pytorch would be my tool of choice.