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Artificial Intelligence with Python – Deep Neural Networks


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Artificial Intelligence with Python – Deep Neural Networks
Artificial Intelligence with Python – Deep Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 19M | 338 MB
Genre: eLearning | Language: English

The course is an introduction to the basics of deep learning methods. We will start with object detection and tracking, in which we will track faces, objects and eyes. We will then build a neural network and an OCR. We will then learn how to build learning agents that can learn from interacting with the environment. We will use Deep Learning with Convolutional Neural Networks, and use TensorFlow to build neural networks. We will then build an image classifier using convolutional neural networks.

Artificial Intelligence with Python – Deep Neural Networks

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  1. Python人工智能:深度神经网络 本教程是对深度学习方法的介绍。我们将从对象检测和跟踪开始,这包括面部、对象和眼部的跟踪。然后,我们将开发神经网络和OCR。接下来,我们将学习如何开发学习代理,这样可以从与环境的交互中学习。我们将使用深度学习和卷积神经网络和Tensorflow开发神经网络,用以对图片分类。
    wilde(特殊组-翻译)3个月前 (02-21)