updating link for neural networks matrices exploration notebook

This notebook consists of coding neural networks using pure python and exploring under the hood mathematical matrices shapes and how operations on them changes/modifies their shapes and hence gives better insight into how the inputs gets transformed from layer to layer till it goes to last output layer.
jd-13 · Nov 21, 2019 · f814509 · f814509
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Showing 1 changed file with 2 additions and 1 deletion.
diff --git a/notebooks/README.md b/notebooks/README.md
@@ -29,6 +29,7 @@
       - [Classification example notebook](https://colab.research.google.com/drive/1i-fOhU87wWrzgnTV0o54MQyHmRVJK0qt)
       - Some explanations of the above Regression & Classification examples: [as a Notebook](https://drive.google.com/file/d/1vR9fOsWkCx0PuiCH0Eiz5FG1AAHuBHa8/view) | [as a PDF file](https://drive.google.com/file/d/1U3GkVgloBd5-w4qSj0KcyhtalhDF7pgC/view)
   - [Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command line tools](https://github.com/donnemartin/data-science-ipython-notebooks)
+  - [Neural Networks Matrices exploration - Under the Hood Mathematical Operations](https://github.com/souravs17031999/NeuralNets-Pure-Python)
   - [Synthetic features and outliers notebook](https://colab.research.google.com/notebooks/mlcc/synthetic_features_and_outliers.ipynb?utm_source=mlcc&utm_campaign=colab-external&utm_medium=referral&utm_content=syntheticfeatures-colab&hl=en#scrollTo=jnKgkN5fHbGy)
   - Do we know our data...
     - [Exploratory Data Analysis](./jupyter/data/01_Exploratory_Data_Analysis_(Do_we_know_our_data).ipynb)
@@ -44,4 +45,4 @@ Please have a look at the [CONTRIBUTING](../CONTRIBUTING.md) guidelines, also ha
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 Back to [details page (table of contents)](../README-details.md#notebooks)<br>
-Back to [main page (table of contents)](../README.md)
+Back to [main page (table of contents)](../README.md)