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author | navanchauhan <navanchauhan@gmail.com> | 2022-12-27 18:07:23 -0500 |
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committer | navanchauhan <navanchauhan@gmail.com> | 2022-12-27 18:07:23 -0500 |
commit | 151bf746c79013ae60f6014660bb1b64df03a98b (patch) | |
tree | 807faad6415dbccde5617f9974c4e30634946a49 /docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html | |
parent | 9ccd54fd70f9613734241ce03f716eba794b1a5c (diff) |
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-rw-r--r-- | docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html b/docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html index f0dad82..f7c49eb 100644 --- a/docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html +++ b/docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html @@ -24,7 +24,8 @@ <meta name="og:image" content="https://web.navan.dev/images/logo.png" /> <link rel="manifest" href="manifest.json" /> <meta name="google-site-verification" content="LVeSZxz-QskhbEjHxOi7-BM5dDxTg53x2TwrjFxfL0k" /> - <script async src="//gc.zgo.at/count.js" data-goatcounter="https://navanchauhan.goatcounter.com/count"></script> + <script data-goatcounter="https://navanchauhan.goatcounter.com/count" + async src="//gc.zgo.at/count.js"></script> <script defer data-domain="web.navan.dev" src="https://plausible.io/js/plausible.js"></script> <script defer data-domain="web.navan.dev" src="https://plausible.navan.dev/js/plausible.js"></script> @@ -41,6 +42,7 @@ </nav> <main> + <h1>Polynomial Regression Using TensorFlow</h1> <p><strong>In this tutorial you will learn about polynomial regression and how you can implement it in Tensorflow.</strong></p> @@ -583,6 +585,7 @@ values using the X values. We then plot it to compare the actual data and predic <p>Basically if you train your machine learning model on a small dataset for a really large number of epochs, the model will learn all the deformities/noise in the data and will actually think that it is a normal part. Therefore when it will see some new data, it will discard that new data as noise and will impact the accuracy of the model in a negative manner</p> + <blockquote>If you have scrolled this far, consider subscribing to my mailing list <a href="https://listmonk.navan.dev/subscription/form">here.</a> You can subscribe to either a specific type of post you are interested in, or subscribe to everything with the "Everything" list.</blockquote> <script data-isso="//comments.navan.dev/" src="//comments.navan.dev/js/embed.min.js"></script> <section id="isso-thread"> |