Compare PyTorch vs. TensorFlow

PyTorch is ranked 12th in AI Development Platforms while TensorFlow is ranked 2nd in AI Development Platforms. PyTorch is rated 0, while TensorFlow is rated 0. On the other hand, PyTorch is most compared with , whereas TensorFlow is most compared with Microsoft Azure Machine Learning Studio, Wit.ai and Caffe.
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5 views|4 comparisons
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551 views|484 comparisons
Ranking
12th
Views
5
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4
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0
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0
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2nd
Views
551
Comparisons
484
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 26% of the time.
Compared 8% of the time.
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PyTorch
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TensorFlow
Overview

We've built this course as an introduction to deep learning. Deep learning is a field of machine learning utilizing massive neural networks, massive datasets, and accelerated computing on GPUs. Many of the advancements we've seen in AI recently are due to the power of deep learning. This revolution is impacting a wide range of industries already with applications such as personal voice assistants, medical imaging, automated vehicles, video game AI, and more.

In this course, we'll be covering the concepts behind deep learning and how to build deep learning models using PyTorch. We've included a lot of hands-on exercises so by the end of the course, you'll be defining and training your own state-of-the-art deep learning models.

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

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Airbnb, NVIDIA, Twitter, Google, Dropbox, Intel, SAP, eBay, Uber, Coca-Cola, Qualcomm
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