This is a container with Jupyter* Notebooks and pre-installed environments for analyzing the performance benefit from using Intel® Optimization for TensorFlow* with oneAPI Deep Neural Network Library (oneDNN). There are two different analysis types:

• For the "Stock vs. Intel® Optimizations for TensorFlow*" analysis type, users can understand the performance benefit between stock and Intel Optimization for TensorFlow
• For the "FP32 vs. Bfloat16 vs. int8" analysis type, users can understand the performance benefit among different data types on Intel Optimization for TensorFlow