Join the webinar to learn more!
When it was first released, TensorFlow had one fairly low-level API. Now with TensorFlow 1.1, there’s ‘tf.layers’, the Estimators API at ‘tf.estimator’, and Keras has appeared at ‘tf.contrib.keras’.
In this webinar, Aaron Schumacher will explain how these interfaces make it easier to do more quickly with encapsulated best practices and a lot of convenience.
Who should attend?
This webinar will be of interest to Data Scientists, Software Engineers and Entrepreneurs in the areas of Connected Cars, Internet of Things/Industrial Internet, Medical Devices, Financial Technology (blockchain) and predictive apps/APIs of all sorts.
About the Presenter
Aaron Schumacher is a data scientist and software engineer for Deep Learning Analytics. He has taught with Python and R for General Assembly and the Metis data science bootcamp. Aaron has also worked with data at Booz Allen Hamilton, New York University, and the New York City Department of Education. Aaron’s career-best breakdancing result was advancing to the semi-finals of the R16 Korea 2009 individual footwork battle. He is honored to be the least significant contributor to TensorFlow 0.9.