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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-tensorflow-2-and-keras-deep-learning-bootcamp/
课程评论：没有评论
**Coursera 课程内容总结：TensorFlow 2 和 Keras 深度学习实战训练营** 本课程旨在帮助学员轻松掌握 Google 最新的 TensorFlow 2 框架，并运用 Keras API 构建深度学习模型。课程内容全面，理论与实践并重，提供 Jupyter Notebook 代码指南、易于参考的幻灯片和笔记，并辅以大量练习巩固技能。 **核心内容：** * **TensorFlow 2 和 Keras API：** 深入理解 TensorFlow 2 的最新更新，并熟练运用 Keras (TensorFlow 2.0 官方 API) 快速构建和训练模型。课程将讲解 Keras 的 Sequential、Functional 和 Subclassing 三种模型构建 API，以及 eager execution 和 tf.data 等 TensorFlow 2 的重要特性。 * **深度学习理论与实践：** 涵盖神经网络基础、人工神经网络、全连接网络、卷积神经网络 (CNN)、循环神经网络 (RNN) 等核心概念。 * **高级模型：** 学习构建自编码器 (Autoencoders) 和生成对抗网络 (GANs)。 * **应用场景：** 通过实际案例学习如何构建模型进行房价预测、医学图像分类、销售数据预测、文本生成等。 * **部署：** 介绍 TensorFlow 模型部署到生产环境的流程。 * **数据科学基础：** 课程前期还包含了 NumPy、Pandas 数据分析以及数据可视化的入门内容。 **学习优势：** * **易于理解：** 以通俗易懂的方式讲解 TensorFlow 2 的复杂性。 * **实践导向：** 大量实操项目让你从概念到代码，再到发布，全程掌握。 * **业界标准：** TensorFlow 被 Airbnb, Ebay, Uber 等众多知名公司广泛使用。 本课程是成为深度学习专家的理想起点。
This course will guide you through how to use Google's latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow 2 framework in a way that is easy to understand.We'll focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0's official API) to quickly and easily build models. In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way!This course covers a variety of topics, includingNumPy Crash CoursePandas Data Analysis Crash CourseData Visualization Crash CourseNeural Network BasicsTensorFlow BasicsKeras Syntax BasicsArtificial Neural NetworksDensely Connected NetworksConvolutional Neural NetworksRecurrent Neural NetworksAutoEncodersGANs - Generative Adversarial Networks Deploying TensorFlow into Productionand much more!Keras, a user-friendly API standard for machine learning, will be the central high-level API used to build and train models. The Keras API makes it easy to get started with TensorFlow 2. Importantly, Keras provides several model-building APIs (Sequential, Functional, and Subclassing), so you can choose the right level of abstraction for your project. TensorFlow's implementation contains enhancements including eager execution, for immediate iteration and intuitive debugging, and tf.data, for building scalable input pipelines.TensorFlow 2 makes it easy to take new ideas from concept to code, and from model to publication. TensorFlow 2.0 incorporates a number of features that enables the definition and training of state of the art models without sacrificing speed or performanceIt is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of course, Google!Become a deep learning guru today! We'll see you inside the course!
