Examples of using Many layers in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
To me, it's all about the user experience(UX); there are many layers that must be considered to create AR piece.
And of course, having to learn features hierarchically means that the model must have many layers in it.
What we call time is a rich, stratified concept; it has many layers.
Deep learning is the machine learning-based analytics approach that uses many layers of mathematical neurons- much like the human brain.
This is polar land and you need many layers of clothes to survive; see cold weather.
These changes in identity and location can easily become nested inside each other, many layers deep, even if you aren't doing anything nefarious.
This was like reading newspapers printed on transparent plastic; many layers were overlapped.
Thanks for mentioning conversation as also being chemistry, I think that we focus so much on looks that we forget that chemistry has many layers.
Many layers of weights separated by non-linearities(sigmoid, tanh, relu+ softmax and the cool new selu).
But because camera modules are made from many layers, they would be too big to fit if they were assembled using screws or traditional adhesives.
Peeling away the myths that Fuller and his acolytes applied to his life like so many layers of fertilizer is no easy task.
If we draw a graph showing how these concepts are built on top of each other, the graph is deep and has many layers.
And then if you're indigenous or maybe African, Caribbean or black, there's many layers, intersections of stigma and discrimination.”.
The architecture is said to be"deep" because it has many layers.
Hinton, LeCun and Bengio recognized the importance of building deep networks using many layers- hence the term“deep learning.
At the same time, computer scientists has revisited the use of many layers Neural Network in doing these human mimic tasks.
For this new introduction of"Auto ML"(automatic machine learning), this is a concept that can contain many layers.
In contrast, PCRAM and ReRAM are not so many layers, but it still has many layers of structure, including electrodes, selectors, and memory.
Each mathematical manipulation is considered a layer, and a complex DNN has many layers, hence the name"deep" networks.
Deep learning algorithms differ from other machine learning algorithms in that they use many layers of several types of neural networks.