From Random Forest to Inception V3

Now to instigate Deep Learning. As opposed to the Random forest method, using a fully convoluted network such as Google’s Inception does not require features to be extracted using custom coded algorithms targeted to the animal’s echo location voice. The network works it all out on it’s own and a good pre-trained model already has a shed load of features defined which can be recycled and applied to new images which are completely unrelated to the old ones. Sounds too good to be true?

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