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Created: 10/12/2024 05:13
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Created: 10/12/2024 05:13
import tensorflow as tf # Set up input data x = tf.range(100) # Set up neurons in hidden layer neurons = 5 # Number of neurons in the hidden layer activation = tf.keras.activations.relu # Activation function for the hidden layer # Define the model def neural_network_model(x, neurons, activation): # Define first layer first_layer = tf.keras.layers.Dense(units=neurons, activation=activation)
import tensorflow as tf # Set up input data x = tf.range(100) # Set up neurons in hidden layer neurons = 5 # Number of neurons in the hidden layer activation = tf.keras.activations.relu # Activation function for the hidden layer # Define the model def neural_network_model(x, neurons, activation): # Define first layer first_layer = tf.keras.layers.Dense(units=neurons, activation=activation)
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