Convolutional Neural Networks

AI Hardware

The AI Hardware Problem

The abundance of automation and tooling made it relatively manageable to scale designs in complexity and performance as demand grew. However, the power being consumed by AI and machine learning applications cannot feasibly grow as is on existing processing architectures. Where do we go from here? New Mind explores.

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AI Neural Networks

CNN Output Size Formula

In this video, deeplizard debugs the forward method and review the tensor shape transformations as well as the formula to calculate convolution output size.

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Best Practices for Preparing and Augmenting Image Data for Convolutional Neural Networks
Computer Vision Neural Networks

Best Practices for Preparing & Augmenting Images for Convolutional Neural Networks

Here’s an interesting tutorial on prepping image data for CNNs. It is challenging to know how to best prepare image data when training a convolutional neural network. This involves both scaling the pixel values and use of augmentation techniques during both the training and evaluation of the model. Instead of testing a wide range of […]

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AI Neural Networks

Convolutional Neural Networks

After a blog post on floppy disks, I figured it was time to bring things back into the 21st century with an explanation of Convolutional Neural Networks.

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Neural Networks

Convolution Neural Nets in Excel

Upon hearing that someone created a neural network in Excel, my first thought was this Jeff Goldblum quote from the original Jurassic Park. However, you have to both appreciate Richard Maddison’s ingenuity and the flexibility of Excel. Watch this video to learn more.

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AI

A friendly introduction to Convolutional Neural Networks and Image Recognition

In case you’re curious about how Convolutional Neural Networks work in regards to image recognition, but were scared off by the math, then here’s the video for you.

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