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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-with-pytorch-u/
课程评论：没有评论
课程名称：使用 Pytorch 的深度学习 概述：在本课程中，您将学习什么是神经网络模型以及如何实现它。您将使用 Python 编程语言的 Pytorch 库，这是一个可以轻松构建神经网络模型的工具。课程的第一部分将介绍深度学习的基本理论，接着将深入探讨神经网络背后的数学原理，帮助您理解这些模型如何工作、如何训练和评估，并掌握相关知识以便于您进行调整，从而改进自己的模型。在理论学习之后，您将参与一个实践项目，构建一个神经网络模型，以将植物分类为不同的物种。您将使用 Pytorch 库来创建和训练该模型。首先，您将采用特定的架构创建模型，然后应用所学的理论知识对模型进行训练。训练完成后，您将获得可以分析和评估模型性能的指标。根据结果，您将学习如何在项目中实施更改，从而探索不同的选项以提升模型性能。您无需具备深度学习或 Pytorch 的先前知识，因为课程将教授构建深度学习项目所需的基础知识。所以，赶快开始使用这一实用课程构建深度学习项目吧！
In this course, you are going to learn what is and how to implement a Neural Network model. To do this, you will use the library Pytorch using Python programming language, a tool that allows you to easily build a neural network model.In the first part of the course, you will learn the basic about the theory of Deep Learning and then we will go deeper in the mathematics behind neural networks so that you can understand how these models works, how they are trained and evaluated and with this knowledge, you can change stuff in order to improve your own models. After the theoretical part, you will build a practical project in which you will build a neural network model to classify plants into different species. To do this you will use Pytorch, a library that allows you to create and train a neural network model using Python. First, you will create the model using a specific architecture, and then you will train the model by applying all the concepts you learned in the theoretical part. After training, you will get metrics that will allow you to analyze and evaluate how good is your model. Based on the results, you will learn how to implement changes into your project so that you can learn how to explore different options in order to improve the model perfomance.You don't need previous knowledge on Deep Learning or Pytorch, because you will learn the basics you need in order to build a deep learning project using this technology.So, get started building deep learning projects with this very practical course.
