Lesson Explanation

This is PM-08 upgraded — same concept, but now:

👉 You must use TensorFlow properly

STEP-BY-STEP

Step 1: Define problem

(same as PM-08)

Step 2: Prepare data

(same as PM-08 but cleaner)

Step 3: Use TensorFlow explicitly

import tensorflow as tf

model = tf.keras.Sequential([
tf.keras.layers.Dense(128, activation=’relu’),
tf.keras.layers.Dense(1)
])

Step 4: Train model

model.compile(optimizer=’adam’, loss=’mse’)
model.fit(X_train, y_train, epochs=20)

Step 5: Evaluate + predict

predictions = model.predict(X_test)

Step 6: Improve + tune

  • adjust learning rate

  • adjust layers

  • improve dataset

PreviousNext