Support vector machines are not particularly interesting. They are just perceptrons with a lot of math. So ultimately souped-up linear classifiers. If you start learning the kernel in an SVM you get a deeper model. A…
A link to a textbook draft from prominent ML researchers specializing in deep learning that is shockingly also about deep learning is not an example of hype. Yoshua Bengio has been working on neural nets for years and…
Support vector machines are not particularly interesting. They are just perceptrons with a lot of math. So ultimately souped-up linear classifiers. If you start learning the kernel in an SVM you get a deeper model. A…
A link to a textbook draft from prominent ML researchers specializing in deep learning that is shockingly also about deep learning is not an example of hype. Yoshua Bengio has been working on neural nets for years and…