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所在平台: Udemy |
课程主页: https://www.udemy.com/course/how-to-build-neural-networks-in-python/
课程评论：没有评论
**课程名称：** 如何用Python构建神经网络 **课程概述：** 本课程经过数月研究精心设计，旨在帮助学习者在没有任何先验知识的情况下，理解如何构建和训练深度神经网络。课程考虑到许多学习者没有充裕的时间（8-9小时）来学习基础知识，因此旨在快速有效地帮助学员掌握技能。课程目标是让学员100%自信地使用TensorFlow在Python中构建神经网络。 **课程内容结构：** 1. **神经网络的定义** 2. **神经网络的起源与发展** 3. **神经网络的工作原理** 4. **设置工作环境** 5. **构建神经网络** 通过这五个环节的学习，学员将能够自信地使用TensorFlow在Python中构建和训练神经网络。
This course has been specially designed with months of research to help learners to understand how to build and train a deep neural network without any prior knowledge. There are many learners who don't have 8 to 9 hours of time to spend in front of the monitor learning the basics. Sometimes, we need to learn things as quickly as possible. And this is exactly what this course offers.This course has been prepared to keep in mind that it should train the students to be 100% confident to build a neural network using TensorFlow in Python. The course starts with a comprehensive definition of Neural networks. Then it walks the learners through the origin and development of Neural networks. After that, it covers the basic working principle of a neural network. In the next lesson, this course guides the students to set up their working environment. Finally, in the last lesson, this course covers everything a student needs to learn to build and train a neural network with confidence.The course follows the following structure:1. Definition of Neural Network2. Origin and Development of Neural Network3. How Neural Network Works4. Setting up the Working Environment5. Building the Neural NetworkThese five lessons will make anyone comfortable to build and train neural networks using TensorFlow in Python.
