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Convolutional Neural Networks

描述

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more.

By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data.阅读更多.

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按照数据工作岗位排列职业相关性

Convolutional Neural Networks 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。

相似度得分(满分 100)

学习顺序

Convolutional Neural Networks is a part of 一 structured learning path.

Coursera
DeepLearning.AI

5 Courses 5 Months

Deep Learning