I’ve created a 14-hour tutorial introduction to deep learning fundamentals + TensorFlow.
It covers:

The ins and outs of Google Colab
TensorFlow basics (tensor creation, tensor manipulation, tensor aggregation)
Deep learning fundamentals (preparing data, fitting a model, loss functions, optimization functions)
Regression models
Classification models (non-linearities, loss functions, optimizers)

It’s designed to be as hands-on as possible, apprenticeship style with as few prerequisites as possible. A watcher of the videos learns concepts whilst coding along live.
So far the videos have been viewed nearly 100,000+ times. I think they’re a great introduction to deep learning and TensorFlow.
Links:


Code on GitHub 26 (the videos cover notebooks 00, 01, 02)
Videos on YouTube 44