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@@ -10,10 +10,12 @@ The images in this repository are taken from Udacity's Deep Learning Nanodegree
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# Repository Content: Projects and Theorey List
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Over the course of time, I have enrolled in multiple MOOCs and read multiple books related to Deep Learning. I try to document all the important notes in one place so that it is easy for me to revise :). Below are the list of projects/theorey that I have worked on/documented. Please see the **Project List** for the code and refer the **Theorey List** for the detailed explaination of various concepts.:
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Over the course of time, I have enrolled in multiple MOOCs and read multiple books related to Deep Learning. I try to document all the important notes in one place so that it is easy for me to revise 😊. <br>
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Below are the list of projects/theorey that I have worked on/documented. Please see the **Project List** for the code and refer the **Theorey List** for the detailed explaination of various concepts.:
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## Project List
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1. [Recap of Numpy and Matrices](./Chapter-wise code/Code%20-%20PyTorch/0.%20Recap%20Numpy%20and%20Matrices)
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1. [Recap of Numpy and Matrices](./Chapter-wise%20code/Code%20-%20PyTorch/0.%20Recap%20Numpy%20and%20Matrices)
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* [Quiz on Numpy](./Chapter-wise%20code/Code%20-%20PyTorch/0.%20Recap%20Numpy%20and%20Matrices/NumPy_Quiz.py)
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* [Scalars, Vectors, Matrices, Tensors](./Chapter-wise%20code/Code%20-%20PyTorch/0.%20Recap%20Numpy%20and%20Matrices/Scalars,_Vectors,_Matricies_and_Tensors.ipynb)
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