What has driven advances in the practical application of deep learning?
Python for Deep Learning - Build Neural Networks in Python - Software and Frameworks
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Information Technology (IT), Architecture
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University
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Hard
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The video discusses the impact of open source software on deep learning advancements, highlighting the preference of developers to use and contribute to these resources. It notes the trend of data science moving towards Python, with many packages being developed for this language. Popular deep learning packages such as TensorFlow, Caffe, Torch, Theano, and ConvNetJS are mentioned.
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5 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
Why do developers prefer to use open source software packages?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What programming language is data science moving towards?
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4.
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3 mins • 1 pt
Name some of the packages developed for deep learning.
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5.
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3 mins • 1 pt
What is the significance of the packages mentioned in the context of deep learning?
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