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Deep Learning Frameworks 2019 | Which Deep Learning Framework To Use | Deep Learning | Simplilearn

This Deep Learning tutorial covers all the essential Deep Learning frameworks that are necessary to build AI models. In this video, you will learn about the development of essential frameworks such as TensorFlow, Keras, PyTorch, Theano, etc. You will also understand the programming languages used to build the frameworks, the different companies that use these frameworks, the characteristics of these Deep Learning frameworks, and type of models that were built using these frameworks. Now, let us get started with understanding the different popular Deep Learning frameworks being used in industries.

Below are the different Deep Learning frameworks we’ll be discussing in this video:
1. TensorFlow (01:28)
2. Keras (02:54)
3. PyTorch (05:02)
4. Theano (06:30)
5. Deep Learning 4 Java (07:55)
6. Caffe (09:51)
7. Chainer (11:29)
8. Microsoft CNTK (13:48)

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Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip

#DeepLearningFrameworks #DeepLearningTutorial #DeepLearning #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse

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Why Deep Learning?

It is one of the most popular software platforms used for deep learning and contains powerful tools to help you build and implement artificial neural networks.
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1. Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
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4. Build deep learning models in TensorFlow and interpret the results
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There is booming demand for skilled deep learning engineers across a wide range of industries, making this deep learning course with TensorFlow training well-suited for professionals at the intermediate to advanced level of experience. We recommend this deep learning online course particularly for the following professionals:

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