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… Input layer Updated the Sequential model definition to use `tf.keras.Input(shape=(1,))` instead of passing `input_shape` directly to the `Dense` layer, aligning with Keras 3/TensorFlow 2.16+ standards
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bogaktik
changed the title
Resolve 'ValueError: Unrecognized data type' in Keras 3 by wrapping the input prediction list `[100.0]` into a NumPy array `np.array([100.0])`.
bogaktik
changed the title
- refactor: replace input_shape with tf.keras.Input for Keras 3 compatibility
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Description
This PR updates the TensorFlow Keras Sequential model definition to adhere to the modern standards of Keras 3 / TensorFlow 2.16+.
Historically,
input_shapewas passed directly inside the first core layer (Dense). In newer versions of Keras, this triggers aUserWarning. To resolve this, the network architecture has been refactored to explicitly use a dedicatedtf.keras.Inputlayer as the first element in the sequential definition.Changes
modelinstantiation to includetf.keras.Input(shape=(1,))followed bytf.keras.layers.Dense(units=1).UserWarningduring notebook execution.Verification
model.fit), and evaluating the updated model.