Itop Vpn Serial Apr 2026

# Compile the autoencoder autoencoder.compile(optimizer='adam', loss='binary_crossentropy')

# Train the autoencoder autoencoder.fit(X_train, X_train, epochs=100, batch_size=32, validation_split=0.2) itop vpn serial

def create_autoencoder(input_dim): input_layer = Input(shape=(input_dim,)) encoded = Dense(64, activation='relu')(input_layer) encoded = Dense(32, activation='relu')(encoded) decoded = Dense(64, activation='relu')(encoded) decoded = Dense(input_dim, activation='sigmoid')(decoded) # Compile the autoencoder autoencoder

autoencoder = tf.keras.Model(inputs=input_layer, outputs=decoded) encoder = tf.keras.Model(inputs=input_layer, outputs=encoded) )) encoded = Dense(64