Project 18: LSTM Sequence Model
ML Engineer
Builds on these lessons
Current Task
Objective
An LSTM layer is a more capable RNN variant that better retains information across longer sequences, thanks to its internal gating mechanism.
Task: build a small LSTM model for a 10-step sequence and print its summary.
index.py
import tensorflow as tf
from tensorflow.keras import layers, Sequential
model = Sequential([
layers.LSTM(16, input_shape=(10, 1)),
layers.Dense(1)
])
print(model.summary())
* Hint: Correct characters turn green, incorrect ones turn red.
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