Inside TensorFlow - TF Debugging
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore TensorFlow debugging techniques for both TF 2 and TF 1 in this 38-minute video presentation by Software Engineer Shanqing Cai. Learn about printing Eager Tensor values, accessing graph-internal tensor values, finding device placement in pure eager execution and tf.function, visualizing function graphs, dumping Grappler outputs, step debugging, and debugging Keras models with TensorBoard callback. Gain insights into advanced debugging methods such as using tf.print() on composite tensors, fetching tensors from while loops, and accessing tf.keras Layer Activations. Discover how to optimize your TensorFlow debugging workflow and improve your machine learning development process.