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It may well be similar material to Ng's Coursera course, but the table of contents on the right shows that this is obviously going to transition into the topic
by diab0lic 13y ago
It may well be similar material to Ng's Coursera course, but the table of contents on the right shows that this is obviously going to transition into the topic of deep networks -- part of Ng's research but not his Coursera course.
The training data is the MNIST dataset released by NIST some time ago, anyone is allowed to use it. It truly is no surprise to see it here, as it is very a very commonly used dataset in ML tutorials/books. It receives some discussion in Artificial Intelligence: A Modern Approach by Russel and Norvig, and even in the Theano getting started tutorials.
- kyzyl 13y agoThat's right. In fact, for a subclass of image recognition tasks, MNIST has become the standard benchmark. Pretty much all of Geoff Hinton's early work on deep learning used MNIST to track the progress of his (their) methods. In fact, if the goal of the book is to educate people on the field then I would say it's definitely best to use the standard benchmarks. It lets readers relate what's in the book to the literature, should they desire, and just like in academia, it lends credence to the author's statements. I've seen people take a lot of flak for publishing writings that don't use the standard datasets, but make claims of progress.
- hcarvalhoalves 13y agoThat's interesting info about the dataset, thank you.