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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-neural-networks-in-javascript-from-scratch/
课程评论：没有评论
**课程名称：** 使用 Javascript 从零构建深度学习：神经网络 **课程概述：** 本课程将教授如何仅使用 Javascript（不使用任何库），从零开始构建和训练人工神经网络。课程强调使用 IDE 和浏览器即可完成所有的学习和编程。课程结构旨在帮助您真正掌握深度学习，从基础概念深入到高级主题。我们将从头开始学习和编写深度学习架构的每一个组件，揭示人工智能神经网络背后的所有“魔法”。为了让您更好地适应实际应用，我们将模仿 TensorFlow 的 API 来构建我们自己的 ANN 框架，并将其与 Tensorflow.js 进行比较，从而深入了解深度学习库的内部工作原理。 在本课程中，我们将使用三种不同的模型方法来创建一个手写数字识别模型： 1. **全连接神经网络（Vanilla Artificial Neural Network）：** 这是最基础的人工神经网络模型。 2. **使用 TensorFlow.js 的全连接神经网络（DenseNet）：** 我们将学习如何在 Javascript 环境中使用已有的深度学习库构建全连接网络。 3. **使用 TensorFlow.js 的卷积神经网络（ConvNet / CNN）：** 我们将学习如何使用 Tensorflow.js 构建更复杂的卷积神经网络，这对于图像识别等任务尤为重要。 深度学习传统上被认为是只有拥有高级学位的研究人员或工程师才能涉足的领域，许多开发者因此对学习这项技术感到畏惧。然而，一旦您开始了解其“魔法”背后的原理，您就会发现这种畏惧是完全没有必要的。这正是我创建本课程的初衷。 通过完成本课程，您将获得宝贵的见解，并有信心深入探索深度学习领域，从而提升您项目的用户体验。 **教学大纲：** (无)
This course will teach how to build and train an Artificial Neural Network from scratch using only Javascript(No library). We will use only an IDEA and a browser. It is structured to help you genuinely learn Deep Learning by starting from the basics until advanced concepts. We will learn and code every component of a Deep learning architecture from scratch, uncovering all the magic behind Artificial Neural Networks. To prepare the students for real life, we will develop our ANN framework following the TensorFlow API, and we will compare our implementation with Tensorflow.js, this way you will know what is under the hood of the Deep learning libraries.In this course, we will create a handwritten digit recognizer model using three different model approaches:Fully Connected Neural Network - Vanilla Artificial Neural NetworkFully Connected Neural Network (also known as a DenseNet) Using TensorFlow.jsConvolutional Neural Network(also known as a ConvNet or CNN) Using TensorFlow.jsDeep learning is a field of study traditionally reserved for researchers or engineers with advanced degrees, and because of that, many developers feel very intimidated to learn this technology. However, when you start learning the mystery behind the "magic", you will realize that there is no reason to be intimidated. And that's why I decided to create this course.By following this course until the end, you will get insights and feel empowered to dive deep into the Deep Learning field to improve the experience of your projects.
