Machine Learning, Python, Towards Data Science, Dimensionality Reduction, Data Visualization.
minimize squared error cost = tf.reduce_mean(tf.pow(tf.subtract(predicted_x, X), 2)) optimizer = tf.train.AdamOptimizer().minimize(cost) with tf.Session(graph=graph) as session: # Initialize global variables session.run(tf.global_variables_initializer()) for batch_x in