TensorFlow Dev Summit 2017: Integrating Keras and TensorFlow

TensorFlow Dev Summit 2017: Integrating #Keras and #TensorFlow

  • My choice has fallen to a presentation by François Chollet of the deep learning library API Keras and its integration with TensorFlow.
  • As Dr. Chollet explains, Keras integrated with TensorFlow promises to streamline deep learning frameworks in ways that will be increasingly user-friendly, rendering the mass adoption of these software developments a more feasible reality:

    Dr. François Chollet is the primary author of Keras, developing this tool while at Research at Google.

  • For instance the way video with text data is processed with the Keras-TensorFlow integration is nicely described with the stack of CNNs, LSTMs and dense final layers with softmax being features explained by Dr. Chollet.
  • The best practises advised by Dr. Chollet about the initialization of recurrent weighs of  the neural network is worth to listen, even if the experienced practitioner feels bored.
  • A final note to the confirmation by Dr. Chollet of the capacity of TensorFlow to streamline  a CloudML or a hyperparameter tuning process with just a few lines of code, enabling a distributed training platform able to enhance big data computes with productivity gains.

I am briefly sharing a video from the last TensorFlow Dev Summit in February 2017. My choice has fallen to a presentation by François Chollet of the deep learning library API Keras and its integration with TensorFlow. As Dr. Chollet explains, Keras integrated with TensorFlow promises to streamline deep learning frameworks in ways that will…
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The New Media Evolution, Memory-Centric Architectures and Deep Learning: 2017 Predictions from the CTO

Our CTO @theICToptimist makes 6 tech predictions for 2017:

  • We expect to see some new elements of technology such as machine learning and deep learning make their way into our thinking about IT architectures.
  • Data Protection Overview Data Backup and Protection Storage Data Backup and Protection Software Data Protection Suites Cloud Backup and Protection Copy Data Management
  • We expect 2017 to be the year when enterprises realize that not all clouds are equal.
  • In 2017, as multi-cloud enterprise IT designs become more commonplace, the need to protect that data in SaaS systems or across multiple on and off-premises clouds will become critical.
  • One of the most significant gaps is how to protect data in the cloud era.

As we approached the end of 2016, I reflected on the storage trend predictions we identified – Containers, 2-Tier Storage, Cloud Portfolio Management, New Media technologies and IT Skills focused on Cloud-native development.
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