edureka! recently live streamed this tutorial on image classification in TensorFlow 2.0
In this video, deeplizard debugs the forward method and review the tensor shape transformations as well as the formula to calculate convolution output size.
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 options, a useful shortcut […]
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.
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.
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.