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Corrected capitalization, corrected to American spellings and typos (#30685)

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* Translate challenge subtitles and example challenge text to Spanish

* Corrected errors in syntax and punctuation

* Multiple corrections of it/s to its plus other grammar corrections

* Correction and added paragraph to CSS Flex article

* Corrected my own typo

* Corrected capitalization, American spellings and typos
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S.Hale
2018-11-07 15:34:13 +00:00
committed by Paul Gamble
parent 624f328f29
commit 3920b7c4ce
119 changed files with 551 additions and 536 deletions
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guide/english/machine-learning/deep-learning/index.md
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@@ -4,7 +4,7 @@ title: Deep Learning
## Deep Learning
Deep Learning refers to a technique in Machine Learning where you have a lots of artificial neural networks stacked together in some architecture.
To the uninitiated, an artificial neuron is basically a mathematical function of some sort. And neural nets are neurons conected to each other. So in deep learning, you have lots of mathematical functions stacked on top (or on the side) of each other in some architecture. Each of the mathematical functions may have its own parameters (for an instance, an equation of a line `y = mx + c` has 2 parameters `m` and `c`) which need to be learned (during training). Once learned for a given task (say for classifying cats and dogs), this stack of mathematical functions (neurons) is ready to do its work of classifying images of cats and dogs.
To the uninitiated, an artificial neuron is basically a mathematical function of some sort. And neural nets are neurons connected to each other. So in deep learning, you have lots of mathematical functions stacked on top (or on the side) of each other in some architecture. Each of the mathematical functions may have its own parameters (for an instance, an equation of a line `y = mx + c` has 2 parameters `m` and `c`) which need to be learned (during training). Once learned for a given task (say for classifying cats and dogs), this stack of mathematical functions (neurons) is ready to do its work of classifying images of cats and dogs.
![Cat or a dog?](https://image.slidesharecdn.com/deeplearningfromanoviceperspective-150811155203-lva1-app6891/95/deep-learning-from-a-novice-perspective-3-638.jpg?cb=1439308391)
@@ -43,7 +43,7 @@ These days there are a variety of deep learning frameworks that allow you specif
* <a href="http://deeplearning.net/software/theano/">Theano</a>
### More Information:
* <a href="http://www.deeplearningbook.org">Deep Learning Textbook</a>
* <a href="http://www.deeplearningbook.org">Deep Learning Textbook</a>
* <a href="https://en.wikipedia.org/wiki/Deep_learning">Deep Learning</a>
* <a href="https://github.com/freeCodeCamp/guides/blob/master/src/pages/machine-learning/neural-networks/index.md">FreeCodeCamp Guide to Neural Networks</a>
* <a href="http://image-net.org/">Imagenet</a>