Deep Learning Applications by M. Arif Wani & Mehmed Kantardzic & Moamar Sayed-Mouchaweh

Author:M. Arif Wani & Mehmed Kantardzic & Moamar Sayed-Mouchaweh
Language: eng
Format: epub
ISBN: 9789811518164
Publisher: Springer Singapore

2.the augmentation of existing architecture implementations to support the NCHW format,

3.the addition of command-line parameters to make the running of multiple training and evaluation scripts concurrently across multiple GPUs and CPUs convenient, and

4.the addition of channel-wise standardization based on data set-level statistics as an optional preprocessing function.

Another surprisingly useful component of the TF ecosystem was Tensorboard, a visualization tool that helped us monitor training and evaluation, compare the performance of various architectures during the competition is mentioned in Sect. 3, and study and understand the structure and running state of TF-Slim models.

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