Tensors, Shapes, and TensorFlow Data

make learners fluent with TensorFlow tensors and input pipelines.

Units

1. Unit 02.00: 02.00 Tensor shape, dtype, device, and batch dimension
2. Unit 02.01: 02.01 Creating tensors from NumPy and tabular data
3. Unit 02.02: 02.02 Indexing, reshaping, stacking, and broadcasting
4. Unit 02.03: 02.03 `tf.data` datasets, batching, shuffling, and prefetching
5. Unit 02.04: 02.04 Train, validation, and test splits for deep learning
6. Unit 02.05: 02.05 Project step: create a reusable TensorFlow dataset pipeline

Module work

• Activity
• Knowledge check
• Summary