The talk provides an overview of the optimizations implemented by Intel to accelerate the performance of the TensorFlow framework for Intel Xeon and Xeon Phi architectures. These include the usage of Intel Math Kernel Library’s Deep Neural Network API’s in TensorFlow, optimization of data flow graph, and ideal runtime settings.