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teddykoker.com
| | blog.paperspace.com
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| | Follow this tutorial to learn what attention in deep learning is, and why attention is so important in image classification tasks. We then follow up with a demo on implementing attention from scratch with VGG.
| | www.analyticsvidhya.com
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| | DCGAN uses convolutional and convolutional-transpose layers in the generator and discriminator, respectively for image data
| | wtfleming.github.io
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| | datadan.io
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| Linear regression and gradient descent are techniques that form the basis of many other, more complicated, ML/AI techniques (e.g., deep learning models). They are, thus, building blocks that all ML/AI engineers need to understand.