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 (the videos cover notebooks 00, 01, 02)
- Videos on YouTube