I fully agree with you that after a MOOC you've barely scratched the surface and until you're implementing them yourself then you're not going to jump into a ML

I fully agree with you that after a MOOC you've barely scratched the surface and until you're implementing them yourself then you're not going to jump into a ML job. However personally I view the rest of the opposite way round. Getting through a course on Deep Learning takes months [0]. Then reading through Keras code once you understand the appropriate NNs is easy. For example it takes a while of going through Neural Networks to understand ResNets. But if you understand ResNets then looking though Keras code that creates a ResNet [1] is easy. If I want to build a NN of any sort in Keras I can just Google for it. However there's no simple Googling you can do to teach yourself NN in an easy to follow structured way. [0]: https://www.deeplearning.ai/ https://www.deeplearning.ai/ [1]: https://github.com/Hyperparticle/one-pixel-attack-keras/blob/master/networks/resnet.py https://github.com/Hyperparticle/one-pixel-attack-keras/blob...