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所在平台: Udemy |
课程主页: https://www.udemy.com/course/keras-with-deep-learning-codes-problems-and-excercise/
课程评论：没有评论
课程名称：Keras深度学习与机器学习库 课程概述：Keras是一个基于Python的开源神经网络库，能够在MXNet、TensorFlow、CNTK或Theano等深度学习框架之上运行。该库旨在快速实验深度神经网络，强调简约、模块化和可扩展性。本课程将深入讲解Keras在深度学习中的应用，适合专家级学习者。课程开始时，我们将简要回顾机器学习中的常见概念，接着介绍神经网络及其训练优化技术。学员将学会如何使用Keras API在CPU和GPU上训练深度学习模型。此外，课程将重点介绍卷积神经网络和递归神经网络这两种神经架构。 本课程特别注重实践，学员将从零开始，即使没有安装任何软件也能立即开始编码。课程内容包含一些必要的理论知识，随后将进入环境设置阶段，通过代码讲解几乎所有的概念。学员将使用Keras这一易于使用且功能强大的机器学习工具。本课程还将与TensorFlow进行比较，以便更好地理解，并在此基础上构建知识体系，通过将新信息与现有知识连接，帮助学员在脑海中形成更强的记忆。 学完此课程后，学员将能够自信地在简历、LinkedIn个人资料或个人网站上添加相关技术资格，并学习构建基本的图像识别模型以及更多应用。 课程大纲：无
Keras is an open source neural network library written in Python. It is capable of running on top of MXNet, Deep learning Tensorflow, CNTK, or Theano. Designed to enable fast experimentation with deep neural networks, it focuses on being minimal, modular, and extensible. This course provides a comprehensive expert level details in deep learning(Keras). We start by a brief recap of the most common concepts found in machine learning. Then, we introduce neural networks and the optimization techniques to train them. We'll show you how to get ready with Keras API to start training deep learning models, both on CPU and on GPU. Then, we present two types of neural architecture: convolutional and recurrent neural networks In this course, we will start from the very scratch. This is a very applied course, so we will immediately start coding even without installation! You will see a brief bit of absolutely essential theory and then we will get into the environment setup and explain almost all concepts through code. You will be using Keras - one of the easiest and most powerful machine learning tools out there.In this course we will get started with Keras, where we'll compare with TensorFlow to make it easier to understand, and to build your knowledge upon itself. By connecting new information with existing knowledge, you'll form stronger connections in your brain on all of this valuable tech content. You'll learn where and how to use Keras. By the end of this course you'll have such a solid grasp you can add all of these technologies as qualifications on your resume, LinkedIn profile, or personal website. Also we will learn to build a basic image recognition model and much much more.
