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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dlmltensorflow/
课程评论：没有评论
《使用 TensorFlow & Keras 的机器学习与深度学习》课程概览： 本课程旨在教授学员如何利用 Google 的 TensorFlow 框架构建用于深度学习的人工神经网络，并掌握机器学习的基础知识。课程以通俗易懂的方式深入讲解 TensorFlow 框架的复杂性及其应用。 **课程亮点：** * **行业需求与就业前景：** 数据科学家是高薪职业，平均年薪高达 12 万美元。本课程将教授实际应用中的机器学习技术，为学员的职业发展铺平道路。 * **内容全面：** 涵盖神经网络基础、TensorFlow 详解、Keras、Sonnet 等。 * **多种神经网络类型：** 深入学习前馈神经网络、径向基函数网络、Kohonen 自组织映射、循环神经网络、模块化神经网络、全连接网络、卷积神经网络等。 * **TensorFlow 优势：** 探讨 TensorFlow 的开源特性、数据流图的计算方式、多平台部署能力（CPU、GPU、桌面、服务器、移动设备）以及部署的灵活性。 * **企业应用广泛：** 介绍 Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, IBM, Intel, Google 等众多知名企业正在使用 TensorFlow。 **目标学员：** 具备一定编程或脚本经验，希望进入机器学习和深度学习领域的专业人士。 **学习成果：** 成为一名精通机器学习和深度学习的专家。
This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning and also the basics of Machine learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand and its application. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too! If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path. This is a comprehensive course with very crisp and straight forward intent. This course covers a variety of topics, including Neural Network BasicsTensorFlow detailed,Keras,Sonnet etcArtificial Neural NetworksTypes of Neural networkFeed forward networkRadial basis networkKohonen Self organizing mapsRecurrent neural NetworkModular Neural networksDensely Connected NetworksConvolutional Neural NetworksRecurrent Neural NetworksMachine Learning Deep Learning Framework comparisons There are many Deep Learning Frameworks out there, so why use TensorFlow? TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, IBM, Intel, and of course, Google! Become a machine learning guru today! We'll see you inside the course!
