Project 17: Sequence RNN Builder
ML Engineer
Builds on these lessons
Current Task
Objective
A SimpleRNN layer processes a sequence step by step, carrying a hidden state forward — the basic building block for sequence data.
Task: build a small RNN model for a 5-step sequence and print its summary.
index.py
import tensorflow as tf
from tensorflow.keras import layers, Sequential
model = Sequential([
layers.SimpleRNN(8, input_shape=(5, 1)),
layers.Dense(1)
])
print(model.summary())
* Hint: Correct characters turn green, incorrect ones turn red.
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