Thoughts after taking the Deeplearning.ai courses – Towards Data Science – Medium

DL practitioners and ML engineers typically spend most days working at an abstract Keras or TensorFlow level. But it's nice to take a break once in a while to get down to the nuts and bolts of learning algorithms and actually do back-propagation by hand. It is both fun and incredibly useful! Andrew Ng's new adventure is a bottom-up approach to teaching neural networks -- powerful non-linearity learning algorithms, at a beginner-mid level. In classic Ng style, the course is delivered through a carefully chosen curriculum, neatly timed videos and precisely positioned information nuggets.