From a4c1783a8479be47614112f90c4e8c77aa1c3b9c Mon Sep 17 00:00:00 2001 From: navanchauhan Date: Wed, 29 Dec 2021 16:08:08 -0700 Subject: added commentbox comments --- docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html | 3 +++ 1 file changed, 3 insertions(+) (limited to 'docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html') diff --git a/docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html b/docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html index 48c477a..60d6131 100644 --- a/docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html +++ b/docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html @@ -520,6 +520,9 @@ values using the X values. We then plot it to compare the actual data and predic

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

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