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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-machine-learning/
课程评论：没有评论
课程名称：深度学习速成班 课程概述：您准备好掌握深度学习技能了吗？深度学习是一种技术，我们可以利用它解决高度计算的问题，如图像处理、图像分类、图像分割、图像标记、声音分类、视频分析等。随着深度学习成为当前热议的话题，如果您想学习这一领域，合理的学习计划非常重要。在学习深度学习之前，您需具备机器学习的基础知识，并掌握Python编程语言。如果您希望构建强大的深度学习应用，那么您来对地方了。该课程将为您提供深度学习这一热门话题的深入知识，让您在无需复杂数学的情况下，采用实用、简单且有趣的方式学习。课程提供了大量实践机会，使用真实世界的数据集进行操作。 课程内容包括： 1. 深度学习基础 2. 人工神经网络（ANN） 3. 卷积神经网络（CNN） 4. 循环神经网络（RNN） 5. LSTM的实现 课程将从基础到高级带您深入了解以上四个主题。完成课程后，您将具备独立处理相关项目的信心。此外，课程提供了大量练习和五个额外的深度学习项目，包括：“股市预测”、“水果识别系统”、“面部表情识别器”、“从胸部X光片中检测肺炎”和“优化作物生产”。在“优化作物生产”项目中，您将学习如何使用数据科学技术（如聚类分析和分类分析）进行精准农业，帮助农民推荐最佳作物以提高产量。在“从X光片中检测肺炎”项目中，您将学习如何使用深度神经网络（如ResNet）解决图像分类任务。在“股市预测”项目中，您将分析股市价格，运用时间序列预测、高级深度学习模型及各种统计特征。在“水果识别”项目中，您将学习如何使用不同的深度学习架构解决复杂的多类图像分类问题，并进行结果比较。在“面部表情识别器”项目中，您将学习如何使用计算机视觉技术检测人类情感（如愤怒、悲伤、快乐、恶心、恐惧等），构建面部情绪检测器。 课程还提供快速的教师支持，以解答任何疑问。期待在课程中见到您！您将能够访问所有课程资源。
Are you ready to master Deep Learning skills?Deep Learning is a technology using which we can solve highly computational problems such as Image Processing, Image Classification, Image Segmentation, Image tagging, sound classification, video analysis, etc.Deep Learning is becoming a buzzword these days, and If you want to learn Deep Learning then It is very important for you that you should have a proper plan regarding that.Before Learning Deep Learning you must have learned Machine Learning and must possess good knowledge of the Python programming language.If you want to build super-powerful applications in Deep Learning. Then, you are at the right place.This course will provide you with in-depth knowledge on a very hot topic i.e., Deep Learning.The purpose of this course is to provide you with knowledge of key aspects of Deep Learning without any intimidating mathematics and in a practical, easy, and fun way. The course provides students with practical hands-on experience using real-world datasets.This course will cover the following topics:-1. Deep Learning (DL).2. Artificial Neural Network (ANN).3. Convolutional Neural Network (CNN).4. Recurrent Neural Network. (RCN)5. Learn to Implement the LSTMs.This course will take you through the basics to an advanced level in all the mentioned four topics.After taking this course, you will be confident enough to work independently on any projects on these topics.There are lots and lots of exercises for you to practice In this Deep Learning Course and also a 5 Bonus Deep Learning Project "Stock Market Prediction", "Fruits Identification System", "Face Expression Recognizer", "Detecting Pneumonia from Chest X-rays", and "Optimizing Crop Production".In this Optimizing Crop Production, you will learn about Precision Farming using Data Science Technologies such as Clustering Analysis and Classification Analysis. You will be able to Recommend the best Crops to Farmers to Increase their Productivity.In this Detecting Pneumonia from X-rays project, you will learn how to solve Image Classification Tasks using Deep Neural Networks such as ResNet which is a High-Level CNN Architectures.In this Stock Market Prediction project, you will learn to analyze, and the Stock Market Prices using Time Series Forecasting, Advanced Deep Learning Models, and different Statistical features.In this Fruits Recognition project, you will learn how to solve a complicated Image Classification Task with Multiple Classes using various Deep Learning Architectures and Compare the Result.In this Face Expression Recognizer project, you will learn to use Computer Vision Techniques to detect Human Emotions such as Angry, Sad, Happy, Disgust, Fear, etc. to build a Facial Emotion Detector.Instructor Support - Quick Instructor Support for any queries.I'm looking forward to see you in the course!You will have access to all the resources used in this course.
