The Echidna Dataset
Get familiar with deep learning and learn about the attributes of the Echidna dataset.
We'll cover the following...
Deep learning
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Deep learning is a set of complex technologies, but they all spring from a simple idea: neural networks become more powerful if they have many layers. Those “deep” networks pose more challenges than the “shallow” three-layered networks we’ve built so far. In the next few chapters, we’ll describe and overcome those challenges.
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Adding layers is just the beginning. In the last few years, the original concept of deep learning branched out into many innovative and sometimes wonderful ideas. We’ll take a look at some of those.
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In Parts I and II, we used MNIST as our benchmark. MNIST will also be our starting point in the first chapters of Part III, but eventually, we’ll outgrow it and tackle ...