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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-your-own-neural-network-from-scratch-with-python/
课程评论：没有评论
课程名称：从零开始用Python构建自己的神经网络 课程概述： 在本课程中，我们将深入掌握机器学习和Python编程的概念，并将这些知识应用于从零开始构建自己的神经网络，而不使用任何库。您将在本课程中学到的内容不仅为您的深度学习职业生涯奠定坚实的基础，还将帮助您理解深度学习库的工作原理。无论您对机器学习和Python编程的了解程度如何，完成本课程后，您都将成为一名具备丰富实践经验的专家。如果您希望在职业生涯中更进一步，这门课程将是您的理想选择，我们非常高兴能够帮助您实现目标！ 课程由Neuralearn提供，课程强调反馈机制，欢迎您在论坛上提出问题和建议，我们会尽快回复您。让我们开始吧！ 在完成本课程后，您将掌握以下不同概念： - 机器学习基础 - 必备的Python编程 - 根据任务选择机器模型 - 错误惩罚 - 线性回归 - 逻辑回归 - 多类回归 - 神经网络 - 训练与优化 - 性能测量 - 验证与测试 - 从零开始在Python中构建机器学习模型 - 过拟合与欠拟合 - 数据打乱 - 集成学习 - 权重初始化 - 数据不平衡 - 学习率衰减 - 规范化 - 超参数调优 您还将获得： - 终身访问课程 - 友好和迅速的Q&A支持 - 可下载的Udemy结业证书 - 30天退款保证 适合人群： - 对深度学习感兴趣的初学者Python开发人员 - 希望掌握深度学习底层工作原理的从业者 - 任何希望掌握深度学习基础的人 - 掌握深度学习库的构建和运行机制 快来加入我们，享受学习的乐趣吧！
Together we are going to master in depth concepts in machine learning and python programming, then apply our knowledge in building our own neural network from scratch without using any library.What you'll learn in this course will not only lay a solid foundation in your Deep Learning career, but also permit you to understand how deep learning libraries work.If you've gotten to this point, it means you are interested in mastering how neural networks work and using your skills to solve practical problems.You may already have some knowledge on Machine learning and python programming, or you may be coming in contact with these for the very first time. It doesn't matter from which end you come from, because At the end of this course, you shall be an expert with much hands-on experience.If you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals!This course is offered to you by Neuralearn.And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum, will help us better this course.Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.Let's get started.Here are the different concepts you'll master after completing this course.Fundamentals Machine Learning.Essential Python ProgrammingChoosing Machine Model based on taskError sanctioningLinear RegressionLogistic RegressionMulti-class RegressionNeural NetworksTraining and optimizationPerformance MeasurementValidation and TestingBuilding Machine Learning models from scratch in python.Overfitting and UnderfittingShufflingEnsemblingWeight initializationData imbalanceLearning rate decayNormalizationHyperparameter tuningYOU'LL ALSO GET:Lifetime access to This CourseFriendly and Prompt support in the Q & A sectionUdemy Certificate of Completion available for download30-day money back guaranteeWho this course is for:Beginner Python Developers curious about Deep Learning.Deep Learning Practitioners who want gain a mastery of how things work under the hood.Anyone who wants to master deep learning fundamentals.Mastery of how Deep Learning libraries work and are built from scratch.ENjoy!!!
