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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-neural-networks-in-matlab-mnist/
课程评论：没有评论
课程名称：《在MATLAB中实现机器学习、深度学习与神经网络》 课程概述：人工智能在我们现代生活中无处不在，从手机、电脑到汽车、电冰箱，甚至是我们不曾想到的设备。经过千年的演变，人类成功地创造出可以在正确训练下执行特定智能任务的机器。其背后的核心过程叫做机器学习和深度学习，通过模仿生物神经元的行为，结合电子和计算机科学的发展。这不仅是我们的现在，更是未来科技发展的关键所在，能够推动社会的诸多进步。 课程的目标是让学员从基础上全面深入了解神经网络。我们将从生物启发入手，探讨其数学原理，一直到如何在著名的MNIST数据库上创建、训练和测试自己的神经网络。课程旨在提供关于神经网络和人工智能的完整且深入的理解，帮助学员掌握创建自定义神经网络的能力，无论是针对哪个项目或应用。 本课程主要内容包括： - 如何使用神经网络模拟大脑。 - 如何表示和注释神经网络。 - 如何利用矩阵构建和计算神经网络。 - 理解和掌握深度学习与神经网络背后的数学及算法。 - 在任何数据集上训练和测试神经网络。 - 使用MNIST手写数字训练和测试数据集。 - 在MATLAB中导入MNIST数据。 - 创建包含正向和反向传播的完整神经网络，并使用Leaky Relu及Sigmoid激活函数。 - 在MNIST数据库上训练和测试自己的神经网络，并超越我们的95%成功率。 我们将详细解释并逐步讲解每个概念和技术，涵盖其基本原理及相关术语。本课程适合初学者、中级或高级学习者，提供深度学习和神经网络的理论与实践相结合的学习平台。无论你的背景是学生、工程师、科幻迷、业余机器人爱好者、无人机制造者、计算机科学家、商业人士还是对数据科学和机器学习感兴趣的人，完成本课程后，你将能够在机器中创造“智能”。 如果在学习过程中有任何问题，欢迎随时联系我们，我们将在24小时内乐意为您解答！如果您对个人成长、职业发展或学术追求感兴趣，我们强烈鼓励您加入！您绝对不会后悔！
AI is omnipresent in our modern world. It is in your phone, in your laptop, in your car, in your fridge and other devices you would not dare to think of. After thousands of years of evolution, humanity has managed to create machines that can conduct specific intelligent tasks when trained properly. How? Through a process called machine learning or deep learning, by mimicking the behaviour of biological neurons through electronics and computer science. Even more than it is our present, it is our future, the key to unlocking exponential technological development and leading our societies through wonderful advancements. As amazing as it sounds, it is not off limits to you, to the contrary!We are both engineers, currently designing and marketing advanced ultra light electric vehicles. Albert is a Mechanical engineer specializing in advanced robotics and Eliott is an Aerospace Engineer specializing in advanced space systems with past projects completed in partnership with the European Space Agency. The aim of this course is to teach you how to fully, and intuitively understand neural networks, from their very fundamentals. We will start from their biological inspiration through their mathematics to go all the way to creating, training and testing your own neural network on the famous MNIST database.It is important to note that this course aims at giving you a complete and rich understanding of neural networks and AI, in order to give you the tools to create your own neural networks, whatever the project or application. We do this by taking you through the theory to then apply it on a very hands-on MATLAB project, the goal being for you to beat our own neural network's performance!This course will give you the opportunity to understand, use and create:How to emulate real brains with neural networks.How to represent and annotate neural networks.How to build and compute neural networks with matrices.Understand and master the mathematics and algorithms behind deep learning and neural networks.Train and test neural networks on any data set.How to use the MNIST handwritting numbers training and testing datasets.Import the MNIST data in MATLAB.Create a complete neural network in MATLAB including forward and backwards propagation with both Leaky Relu and Sigmoid activation functions.Train and test your own neural network on the MNIST database and beat our results (95% success rate).We will thoroughly detail and walk you through each of these concepts and techniques and explain down to their fundamental principles, all concepts and subject-specific vocabulary. This course is the ideal beginner, intermediate or advanced learning platform for deep learning and neural networks, from their fundamentals to their practical, hands-on application. Whatever your background, whether you are a student, an engineer, a sci-fi addict, an amateur roboticist, a drone builder, a computer scientist, a business or sports person or anyone with an interest in data science and machine learning, at the end of this course, you will be capable of creating brains within machines!If you have questions at any point of your progress along the course, do not hesitate to contact us, it will be our pleasure to answer you within 24 hours!If this sounds like it might interest you, for your personal growth, career or academic endeavours, we strongly encourage you to join! You won't regret it!
