Project 4: Photo Batch Tensor Inspector

ML Engineer

Builds on these lessons

Current Task

Every tensor has a shape, a dtype, and a rank (number of dimensions) — the same fundamentals as a NumPy array, generalized to TensorFlow.

Task: create a 4D tensor representing a batch of photos and print its shape, dtype, and rank.

index.py

import tensorflow as tf

photo_batch = tf.zeros([32, 128, 128, 3])
print(photo_batch.shape)
print(photo_batch.dtype)
print(tf.rank(photo_batch))

* Hint: Correct characters turn green, incorrect ones turn red.

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