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  • Microsoft Releases Version 2.0 "Open-Source Toolkit" to Accelerate Deep Learning

    Microsoft today launched version 2.0 of what is now called the Microsoft Cognitive Toolkit. This open-source toolkit, which was previously known as CNTK, is Microsoft's competitor to similar tools like TensorFlow, Caffe and Torch,

    Source: Microsoft
    10428
  • Know the Difference Between AI, Machine Learning, and Deep Learning

    AI is defined by many terms that crop up everywhere and are often used interchangeably. Read through to better know the difference between AI, Machine Learning, and Deep Learning.

    Source: Edgylabs
    12348
  • Top 8 Free Must-Read Books on Deep Learning

    Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.

    Source: HOB
    25776
  • Top 8 Free Must-Read Books on Deep Learning

    Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.

    Source: HOB
    18531
  • Which are the Best Online Courses to Learn Natural Language Processing?

    There are various online courses that will help you in developing a good understanding of NLP, some of the best I have listed down here.

    Source: HOB
    32541
  • What Differs Cognitive Computing from Artificial Intelligence?

    We have reached a stage in technology where it is possible to develop systems which mimic the human brain. This is cognitive computing.

    Source: HOB
    21858
  • The new 'Learn to Grow' framework makes Artificial Intelligence systems a lifelong learner

    A project of the U.S. Army has successfully developed a new framework for deep neural networks that makes artificial intelligence systems capable to learn new tasks better while forgetting less of what they have learned regarding previous tasks.

    Source: HOB
    6669
  • A series of Deep Learning breakthroughs which gears up Machine Learning field. How?

    By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow author Aurelien Geron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.

    Source: HOB
    7257
  • Tutorial of Pytorch: A Deep Learning Model

    Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

    Source: HOB
    6498
  • Some key points that separate the Deep Learning Frameworks Keras, PyTorch, and TensorFlow

    Keras, TensorFlow, and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning.

    Source: HOB
    11721
  • Is it so difficult to learn TensorFlow Deep Learning Framework? This Youtube Video will help you in better Learning

    Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

    Source: HOB
    11784
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