The session invokes a just-in-time compiler (XLA) to generate code from the data flow graph. The tutorial that the TensorFlow authors offer for beginners goes step-by-step through some simple ...

And when TensorFlow ... by “data flow graphs”? Well, that’s the really cool part. But before we can answer that, we’ll need to talk a bit about the structure for a simple neural network.

# 출력값 : Tensor("Const:0", shape=(), dtype=float32) Tensor("Const_1:0", shape=(), dtype=float32) node1 = tf.constant(3.0, dtype=tf.float32) node2 = tf.constant(4 ...

The Keras API is outwardly simple; you can define a basic model with three layers in less than 10 lines of code ... gain introspection into TensorFlow apps. Each graph operation can be evaluated ...

Abstract: We present a design study of the TensorFlow ... declutter the graph, we decouple non-critical nodes from the layout. To provide an overview, we build a clustered graph using the hierarchical ...

# 출력값 : <tf.Tensor: id=0, shape=(), dtype=float32, numpy=3.0>, <tf.Tensor: id=1, shape=(), dtype=float32, numpy=4.0> node1 = tf.constant(3.0, dtype=tf.float32 ...