Writing Fraud-Detection using RNN from Scratch
Our goal in this blog post is to build a solid understanding of how an RNN with Many-to-Many (Synced) architecture works and to help us...
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Introduction to Recurrent Neural Network (RNN)
Standard Feedforward networks are great. We can solve complex problems with it. But it has some limitations that makes unsuitable for certain types of problems....
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AlexNet Convolutional Neural Network
Our goal for this blog post is to have solid fundamental understanding of the different parts that comprises the AlexNet architecture. You can see the...
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