## Demystifying the math and implementation of Convolutions: Part III

Straight to the point. Convolution over Volume Convolution over volume refers to 3D input matrices, such as RGB Images. While...

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Demystifying the math and implementation of Convolutions: Part III

Straight to the point. Convolution over Volume Convolution over volume refers to 3D input matrices, such as RGB Images. While...

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Demystifying the math and implementation of Convolutions: Part II

So, in the previous part of this series, we have implemented Convolutions in Python and have gained deeper understanding of...

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The Magika Behind NDArrays

There are two kinds of people, those with the curiosity to know what they are using, those who simply use....

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Demystifying the math and implementation of Convolutions: Part I.

Introduction Worry not, if you want to implement a feed forward convolution layer, (back prop will be discussed in another...

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Optimizating CGraph with SSE and AVX

As you might have seen on my github profile, I have been working on a new project called CGraph https://github.com/praisethemoon/cgraph,...

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IR: From Lucene To Elasticsearch – Part II

Introduction In the previous part of the series, we have discussed how does the indexing process speed up information retrieval...

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IR: From Lucene To Elasticsearch – Part I

Introduction You surely must have heard about Apache Lucene, Apache Solr, Elasticsearch, Kibana and Logstash. Every one is talking about...