This section consists of some recommendations if you wish to continue your development in deep learning. My first recommendation is that you ensure that you have run all the code examples in this book. You are getting less than 50% of the benefit if you just read this book without running the code. Go through the examples, change the code to try and beat the results I got, re-write the MXNet code to Keras code, and so on.
I strongly recommend Deep Learning Specialization on Coursera by Andrew Ng (https://www.coursera.org/specializations/deep-learning). Unfortunately, it is in Python, but it still is a great resource. Also in Python are two excellent courses on fast.ai (http://www.fast.ai/) from Jeremy Howard. These two options take opposite approaches: the Deep Learning specialization on Coursera takes a bottom-up approach that goes from theory...
