Update index.md with grammatical, spelling fixes (#28874)
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@@ -13,9 +13,11 @@ The basic principle which underlies the remarkable success of neural networks is
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Neural networks initially became popular in the 1980s, but limitations in computational power prohibited their widespread acceptance until the past decade.
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Innovations in CPU size and power allow for neural network implementation at scale, though other machine learning paradigms still outrank neural networks in terms of efficiency.
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The most basic element of a neural network is a neuron. Its input is a vector, say `x`, and its output is a real valued variable, say `y`. Thus, we can conclude that the neuron acts as a mapping between the vector `x` and a real number `y`.
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Neural networks perform regression iteratively across multiple layers, resulting in a more nuanced prediction model.
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A single node in a neural network computes the exact same function as [logistic regression](../logistic-regression/index.md).
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All these layers, aside from the input and output, are hidden, that is, the specific traits represented by these layers are not chosen or modified by the programmer.
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All these layers, aside from the input and output, are hidden. That is, the specific traits represented by these layers are not chosen or modified by the programmer.
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@@ -23,11 +25,11 @@ In any given layer, each node takes all values stored in the previous layer as i
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The power of neural networks lies in their ability to "discover" patterns and traits unseen by programmers.
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As mentioned earlier, the middle layers are "hidden," meaning the weights given to the transitions is determined exclusively by the training of the algorithm.
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Neural networks are used on a variety of tasks. These include computer vision, speech recognition, translation, social network filtering, playing video games, and medical diagnosis among other things.
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Neural networks are used on a variety of tasks. These can include but are not limited to: computer vision, speech recognition, translation, social network filtering, playing video games, and medical diagnosis.
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### Visualization
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There's an awesome tool to help you grasp the idea of neural networks without any hard math: <a href='http://playground.tensorflow.org' target='_blank' rel='nofollow'>TensorFlow Playground</a>, a web app that lets you play with a real neural network running in your browser and click buttons and tweak parameters to see how it works.
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There's an awesome tool to help you grasp the idea of neural networks without any hard math: <a href='http://playground.tensorflow.org' target='_blank' rel='nofollow'>TensorFlow Playground</a>, a web app that lets you play with a real neural network running in your browser, click buttons and tweak parameters to see how it works.
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### Problems solved using Neural Networks
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- Classification
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