Inside TensorFlow - tf.data + tf.distribute

This course covers the best practices for tf.data and tf.distribute in TensorFlow. The learning outcomes include understanding how to build TensorFlow input pipelines, improve performance with the tf.data API, and implement distributed training with TensorFlow. The course teaches skills such as building input pipelines, optimizing performance, implementing parallel transformations, and utilizing the tf.distribute.Strategy API. The teaching method includes lectures and practical examples. The intended audience for this course is developers and data scientists familiar with TensorFlow looking to enhance their knowledge of tf.data and tf.distribute for improved performance and scalability in their machine learning projects.