TensorFlow, Interactively
Course progress0/15

Beginner

  • ○Machine Learning Algorithms: The Big Picture
  • ○About NumPy
  • ○What is a Tensor?
  • ○Linear Regression Playground
  • ○Your First Neural Net
  • ○About Keras

Intermediate

  • ○Convolutions Visualized
  • ○Overfitting & Regularization
  • ○Training Dynamics Lab
  • ○Explainability Basics
  • ○Word Embeddings
  • ○Sequence Models: RNNs

Advanced

  • ○Transfer Learning
  • ○Custom Training Loops
  • ○Production Best Practices
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Tier

Advanced

Professional-grade TensorFlow: reuse pretrained models, write custom training loops, and avoid the mistakes that hurt in production.

  1. 1Transfer LearningTake a model pretrained on millions of images and fine-tune it on a tiny dataset in seconds, right in the browser.~30 min
  2. 2Custom Training LoopsDrop `model.fit` and write the gradient tape by hand — inspect every gradient tensor as it flows backward.~30 min
  3. 3Production Best PracticesInput pipelines, checkpointing, mixed precision, and the mistakes that quietly wreck models in production.~30 min