Examples of using More layers in English and their translations into Chinese
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I kept experimenting with materials, and realized I wanted more layers and more depth.
If a model has more hidden units(a higher-dimensional representation space), and/or more layers, then the network can learn more complex representations.
Increasing the energy storage requires adding more layers of electrode material- which in turn requires more layers of metal foil and plastic film.
Unfortunately, the more layers in the network, the longer it will take to calculate, and the harder it will be to train.
Generally speaking, the more layers of the lens, the better optical performance, the mainstream marketTachographMostly between lens layers 4-6 layers. .
The more layers the data goes through in the deep architecture, the more complicated the nonlinear transformations which are constructed.
Adding more layers increases the conversion efficiency of drinking water production, but each layer also increases the system cost and volume.
The more layers in the network, the more complex the features that can be extracted for clustering and classification.
More layers increase the sharpness of the image detail or guarantee a clear view even in bad weather.
With larger networks and more layers, we're able to learn more complex shapes and features, and thus better understand objects.
Adding more layers increases the conversion efficiency for producing potable water, but each layer also adds cost and bulk to the system.
Just below you can make a couple more layers of"waviness" to make the pack look more lush.
More layers increase the razor-sharp details of the image or guarantee a clear view even in bad weather.
The more layers the attacker must break through, the lower the likelihood of his success.
The more layers of data you have, the more you learn, the more useful your advice can be: People who like this also like that.
Adding more layers of data to an earthquake forecast- especially as the quality of construction is never fully known- adds more uncertainty.
I think over time, though, it's all of our responsibilities not to put more layers of hardware and glass in front of users.
To improve the recognition accuracy we will add more layers to the neural network.
When we have this, we will be able to learn more layers and learn more stuff on top of that.
Thus smaller applications may have only three layers, whereas larger and more complex business applications may contain five or more layers.