The series consist of the introductory TensorFlow tutorials outlined below:
| # | Tutorial | Code | Video |
|---|---|---|---|
| 1 | Introduction to TensorFlow: graphs, sessions, constants, and variables | notebook | Video #1 |
| 2 | Training a multilayer perceptron | notebook | Video #2 |
| 3 | Setting up the training and validation pipeline | notebook | Video #3 |
| 4 | Regularization, saving and resuming from checkpoints, and TensorBoard | notebook | Video #4 |
| 5 | Convolutional neural networks, batchnorm, learning rate schedules, optimizers | notebook | Video #5 |