Titlebook: Convolutional Neural Networks with Swift for Tensorflow; Image Recognition an Brett Koonce Book 2021 Brett Koonce 2021 convolutional neural

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颶風(fēng)

CIFAR: 2D Neural Network with Blocks,In this chapter, we will look at how we can stack layers of convolutions to scale up our network to tackle a slightly more real-world problem of distinguishing between color pictures of animals and vehicles, called CIFAR.

Omnipotent

VGG Network,In this chapter, we will build VGG, a state-of-the-art network from 2014, by making an even larger version of our CIFAR network.

貪婪的人

MobileNet v2,In this chapter, we’ll look at how we can modify our MobileNet v1 approach to produce MobileNet v2, which is slightly more accurate and computationally cheaper. This network came out in 2018 and delivered an improved version of the v1 architecture.

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MobileNetV3,In this chapter, we will look at a MobileNetV3, which delivers an optimized version of EfficientNet on mobile hardware by reducing the complexity of the network. This model is heavily based on EfficientNet’s search strategy with mobile-specific parameter space goals.

Intractable

Bag of Tricks,In this chapter, we will look at how we can modify our original ResNet 50 network to achieve nearly as accurate of results as EfficientNet by combining many different approaches.

Adulate

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新奇

The Black-Scholes Theory of Option Prices,lemented in the system is MVC (Model-View-Control) which provides the system more maintainable and extendable. In order to provide flexible indoor space configuration in the system, we design a text-based space configuration scheme which can support the users to define a new indoor space very easily.

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