Media Summary: In this talk we'll go over some interesting features of TF which are useful when doing research. Speaker: Alexandre Passos ... In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
Tensorflow Dev Summit 2017 - Detailed Analysis & Overview
In this talk we'll go over some interesting features of TF which are useful when doing research. Speaker: Alexandre Passos ... In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Derek Murray discusses tf.data, the recommended API for building input pipelines in
Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ... Generating input data, running distributed Serving is the process of applying a trained model in your application. In this talk, Noah Fiedel describes We have seen tremendous advances in many different areas of machine learning. The use of
