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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Why Future Emphasis Should be on Algorithms

Why Future Emphasis Should be on #Algorithms – Not #Code 

 #fintech #AI @TrendinTech

  • People figured that if they could find a way to codify instructions to a machine to tell it what steps to take, any manual operation could be eliminated saving any business time and money.
  • Algorithms, on the other hand, are a series of steps that describe a way of solving a problem that meets the criteria of both being correct and ability to be terminated if need be.
  • Instead of writing code to search our data given a set of parameters of the certain pattern as traditional coding focuses on, with big data we look for the pattern that matches the data.
  • Now another step’s been added to the equation that finds patterns humans don’t see, such as the certain wavelength of light, or data over a certain volume.
  • So, this new algorithmic step now successfully searches for patterns and will also create the code needed to do it.

We are all now in what’s called the “big data era,” and we’ve been here for quite some time. Once upon a time we were only just starting to piece together
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Artificial Intelligence: Four Tips to Increase Customer Retention

Artificial Intelligence: Four Tips to Increase Customer Retention  #ModernMSP

  • MSPs must be sure that the data presented is relevant to the services they provide.
  • Artificial Intelligence: Four Tips to Increase Customer Retention
  • To improve customer retention, MSPs and their SMB customers need to make sure theyâ re offering something special.
  • Implementing 24×7 help desk support with a personal touch is a sure-fire way to increase customer retention and add to the perceived value of a brand.
  • For Thomas, AI may also be â the key to avoiding long IVR phone calls , or at least making them much more bearable.â AI technology uses customer data to streamline the process and provide a quick answer to real customer problems.

Artificial intelligence is changing the fundamental ways businesses are executing their digital marketing campaigns and customer retention.
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AI, Big Data and Cloud Computing Are Key to the Future, BlueRun Ventures Partner Says

#AI , #bigdata and #cloudcomputing  Are Key to the Future, BlueRun Ventures Partner Says

  • There will be no Big Data without cloud computing, and no AI without Big Data, said Zhu said, who always stresses to entrepreneurs that AI is not a hot sector they should pile into, but only a label for companies.
  • AI, Big Data and Cloud Computing Are Key to the Future, BlueRun Ventures Partner Says
  • For Big Data sectors, what this company is hunting for are companies able to profit and collect data at the same time.
  • (Yicai Global) Jan. 24 — Any new business connections including healthcare, finance, retail, manufacturing and the service industry will need to be developed jointly with artificial intelligence, Big Data and cloud computing — the keys to the future, according to a venture capitalist in China.
  • The core value of investors is to present the future trend and give risk warnings to entrepreneurs, so as to help them manage risks.

(Yicai Global) Jan. 24 — Any new business connections including healthcare, finance, retail, manufacturing and the service industry will need to be developed jointly with artificial intelligence, Big Data and cloud computing — the keys to the future, according to a venture capitalist in China.

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Investorideas

  • PARIS – January 17, 2017 (Investorideas.com Newswire) Serena Capital, a major player in financing and accompanying high growth digital companies, has launched its 3rd fund in 8 years; Serena Data Ventures, dedicated to Big Data and Artificial Intelligence.
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  • Serena Capital reinforces its start-up support with the arrival of 3 new Venture Partners and Amélie Faure hired as Operating Partner.
  • Within a few years, Serena Capital has become a key player in financing and supporting early growth digital start-ups and has just launched the first fund in Europe dedicated to Big Data and Artificial Intelligence.

#AI News: Serena Capital Launches Serena Data Ventures, the 1st European #Fund Dedicated to Big Data & #ArtificialIntelligence
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12 Algorithms Every Data Scientist Should Know

12 Algorithms Every Data Scientist Should Know | #MachineLearning #DataScientist #RT

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Algorithms have become part of our daily lives and can be found in any aspect of business. What are the algorithms every data scientist should know?
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