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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/convolutional-neural-networks
课程评论：没有评论
课程名称：卷积神经网络 课程概述：在深度学习专业化系列的第四门课程中，您将了解计算机视觉的发展历程，并熟悉其令人兴奋的应用，如自动驾驶、人脸识别、医学影像阅读等。课程结束时，您将能够构建卷积神经网络，包括最近的变体，如残差网络；将卷积网络应用于视觉检测和识别任务；并利用神经风格转移算法生成艺术作品，将这些算法应用于各种图像、视频及其他2D或3D数据。 深度学习专业化是我们的基础课程，旨在帮助您理解深度学习的能力、挑战和影响，并准备您参与前沿人工智能技术的发展。它为您提供了获得应用机器学习的知识和技能的途径，帮助您提升技术职业生涯，并在人工智能领域迈出决定性的一步。 课程大纲： 1. 卷积神经网络基础 - 描述：实现CNN的基础层（池化、卷积），并合理堆叠在深度网络中，以解决多类图像分类问题。 2. 深度卷积模型：案例研究 - 描述：发现一些深度CNN中使用的强大实用技巧和方法，直接来自研究论文，然后将迁移学习应用于您自己的深度CNN。 3. 物体检测 - 描述：将您对CNN的新知识应用于计算机视觉中最热门（也是最具挑战性）领域之一：物体检测。 4. 特殊应用：人脸识别与神经风格转移 - 描述：探索CNN如何应用于多个领域，包括艺术生成和人脸识别，然后实现您自己的算法来生成艺术作品和识别人脸！
Name:Foundations of Convolutional Neural Networks
Description:Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.
Name:Deep Convolutional Models: Case Studies
Description:Discover some powerful practical tricks and methods used in deep CNNs, straight from the research papers, then apply transfer learning to your own deep CNN.
Name:Object Detection
Description:Apply your new knowledge of CNNs to one of the hottest (and most challenging!) fields in computer vision: object detection.
Name:Special Applications: Face recognition & Neural Style Transfer
Description:Explore how CNNs can be applied to multiple fields, including art generation and face recognition, then implement your own algorithm to generate art and recognize faces!
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. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.
