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ACM SIGGRAPH 2021 Courses, 2021
Computer graphics is a sub-field of computer science which studies methods for digitally synthesizing and manipulating visual content.
Cengiz Öztireli +5 more
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Computer graphics is a sub-field of computer science which studies methods for digitally synthesizing and manipulating visual content.
Cengiz Öztireli +5 more
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2017
In Neuroscience, the technique of inserting an electrode into the extracellular brain tissue, in order to record the activity of individual neurons (single-unit activity), is a common procedure used in the study of the brain, as well as of some brain disorders like paralysis or memory loss.
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In Neuroscience, the technique of inserting an electrode into the extracellular brain tissue, in order to record the activity of individual neurons (single-unit activity), is a common procedure used in the study of the brain, as well as of some brain disorders like paralysis or memory loss.
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2020
Machine learning has advanced substantially in the past few years, and there are many generic solutions freely available to classify text and images. The solutions are so straightforward to set up and run that having a software background is no longer necessary to perform machine learning experimentation.
Isha Agarwal +3 more
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Machine learning has advanced substantially in the past few years, and there are many generic solutions freely available to classify text and images. The solutions are so straightforward to set up and run that having a software background is no longer necessary to perform machine learning experimentation.
Isha Agarwal +3 more
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2020
TensorFlow 2.0 came as a huge blessing to the machine learning world. It was announced during the TensorFlow Dev Summit of 2019. At the time, it was still in its alpha version. Despite its being an unofficial release, it had already gathered quite a bit of attention from programmers, who soon realized that it was definitely a significant improvement ...
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TensorFlow 2.0 came as a huge blessing to the machine learning world. It was announced during the TensorFlow Dev Summit of 2019. At the time, it was still in its alpha version. Despite its being an unofficial release, it had already gathered quite a bit of attention from programmers, who soon realized that it was definitely a significant improvement ...
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2020
So far, we’ve learned how Python can be used for lucrative machine learning with the help of its numerous libraries, which were created for just that purpose. We also know that Jupyter Notebook is a solid development environment that can be used to build and run large programs.
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So far, we’ve learned how Python can be used for lucrative machine learning with the help of its numerous libraries, which were created for just that purpose. We also know that Jupyter Notebook is a solid development environment that can be used to build and run large programs.
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2019
The TensorFlow library has come a long way from its first appearance. Especially in the last year, many more features have become available that can make the life of researchers a lot easier. Things like eager execution and Keras allow scientists to test and experiment much faster and debug models in ways that were not possible before.
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The TensorFlow library has come a long way from its first appearance. Especially in the last year, many more features have become available that can make the life of researchers a lot easier. Things like eager execution and Keras allow scientists to test and experiment much faster and debug models in ways that were not possible before.
openaire +1 more source