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author | navanchauhan <navanchauhan@gmail.com> | 2021-12-29 16:08:08 -0700 |
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committer | navanchauhan <navanchauhan@gmail.com> | 2021-12-29 16:08:08 -0700 |
commit | a4c1783a8479be47614112f90c4e8c77aa1c3b9c (patch) | |
tree | 842dc340b774596866ecf2c8861edb41c3afd038 /docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html | |
parent | 8acc77e94eb207900b51d0182d51fc4e55104692 (diff) |
added commentbox comments
Diffstat (limited to 'docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html')
-rw-r--r-- | docs/posts/2019-12-16-TensorFlow-Polynomial-Regression.html | 3 |
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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 <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> + <div class="commentbox"></div> + <script src="https://unpkg.com/commentbox.io/dist/commentBox.min.js"></script> + <script>commentBox('my-project-id')</script> </main> |