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Some corrections and paragraph on DL usages
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docs/code/DeepLearningOverview.md

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@@ -68,7 +68,19 @@ they enable, in (a more complete description can be found [here](https://learn.m
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# What can I use deep learning for?
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# Deep learning in ML.NET http://ml.net/
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As stated above, the scope of application of DL techniques is rapidly
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expanding. DL architectures, however, have shown amazing
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(close-to-human in some cases) performance in tasks having to do with
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"unstructured data": images, audio, free-form text and the like. In
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this way, DL is constantly featured in image/audio classification and
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generation applications. When it comes to text processing, more
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generally Natural Language Processing, DL methods have shown amazing
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results in tasks like translation, classification, generation and
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similar. Some of the more spectacular, recent applications of ML,
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such as "Stable Diffusion" are powered by sophisticated, large Neural
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Network architectures.
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# Deep learning in ML.NET
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# Train custom models
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