[New post] Python code snippet – How to develop model of ann in ML?

Subash Chandran posted: "# Initializing the ANN ann = tf.keras.models.Sequential() # Adding the input layer and the first hidden layer ann.add(tf.keras.layers.Dense(units=6, activation='relu')) # units = 6 -- has highest accuracy # Adding the second hidden layer ann.add(tf.kera" New post on Poopcode Python code snippet – How to develop model of ann in ML? by Subash Chandran # Initializing the ANN ann = tf.keras.models.Sequential() # Adding the input layer and the first hidden layer ann.add(tf.keras.layers.Dense(units=6, activation='relu')) # units = 6 -- has highest accuracy # Adding the second hidden layer ann.add(tf.keras.layers.Dense(units=6, activation='relu')) # Adding the output layer ann.add(tf.keras.layers.Dense(units=1, activation='sigmoid')) # units = 1 -- for binary values # Part 3 - Training the ANN # Compiling the ANN ann.compile(optimizer = 'adam', loss = 'binary_crossentropy', metrics = ['accuracy']) # Training the ANN on the Training set ann.fit(X_train, y_train, batch_size = 32, epochs = 100) Read more of this post Subash Chandran | October 12, 2021 at 10:11 am | Tags: develop ml model, developing ml model, how a model works ml, how to develop model of ann in ML, steps of developing ml model | Categories: Snippets | URL: https://wp.me/pb9kQA-3Fg Comment    See all comments Unsubscribe to no longer receive posts from Poopcode. Change your email settings at Manage Subscriptions. Trouble clicking? Copy and paste this URL into your browser: https://poopcode.com/python-code-snippet-how-to-develop-model-of-ann-in-ml/