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所在平台: Udemy |
课程主页: https://www.udemy.com/course/implement-ml-using-tensorflow/
课程评论：没有评论
课程名称：使用 TensorFlow 2.3 实现机器学习（2023年4月） 课程概述：本课程采用实践的方式教授如何使用 TensorFlow，通过 Google Colab 进行学习。您将对 TensorFlow 有一个全面的了解。TensorFlow 是谷歌发布的开源软件库，是一个 Python 库/框架，使开发人员能够将任意计算表达为数据流图，从而方便复杂数学表达式的计算。课程将深入探讨 TensorFlow 的架构、优点和好处。 您将学习神经网络及其实现，深入了解不同类型的神经网络，包括分类和回归机制。同时，课程还将简要介绍使用神经网络的优势和好处。此外，您将了解推荐系统的概念，举例说明以及不同的构建方法，认清推荐系统的重要性。 课程还将指导您如何进行迁移学习，以构建模型和进行微调。最后，您将对生成对抗网络（GAN）有一个简要的了解。我们的重点是讲授流畅相连的主题，课程会教您有关使用 TensorFlow 2.3 实现机器学习的所有必要知识，并提供实践示例。 不要错过每一天的机会。快来加入我们吧！
This course takes you through hands-on approach with TensorFlow using Google Colab.In this course you will have an overview of TensorFlow. TensorFlow is an open source software library released by Google. It is a Python library/framework which allows developers to express arbitrary computation as data flow graph and for easy calculation of complex mathematical expressions.Here you will look upon TensorFlow architecture, Advantages and benefits of TensorFlow. You will also explore on Neural networks and implementation, types of neural Network in depth using Classification and regression mechanism. Also learn and understand about the advantages and benefits of using neural networks in brief.Further, you will learn what is recommender system with an example and different ways to approach recommender system. Besides, you will also get to know the importance of recommender system.You will explore on how to perform transfer learning on building the model and how to fine tune it. Additionally, you will have a brief overview about GAN (Generative adversarial Network)Our focus is to teach topics that flow smoothly. The course teaches you everything you need to know about Implementation of ML using TensorFlow 2.3 with hands-on examples.Every day is a missed opportunity.Hurry Up
