How to Build Neural Networks in Python

学习在 90 分钟内使用 TensorFlow 和 Python 构建和训练深度神经网络 (DNN) 的最佳课程

您将学到什么
学生将学习神经网络的工作原理
他们还将了解 Google Colab 中的代码机器学习算法的原理
学生将能够使用 Python 中
的 TensforFlow 构建和训练深度神经网络 学习者将能够评估以图形方式显示网络的性能

要求
基本 Python
描述
本课程经过数月的研究专门设计，旨在帮助学习者了解如何在没有任何先验知识的情况下构建和训练深度神经网络。有许多学习者没有 8 到 9 个小时的时间在监视器前学习基础知识。有时，我们需要尽快学习。这正是本课程所提供的。

准备本课程时要记住，它应该训练学生 100% 有信心在 Python 中使用 TensorFlow 构建神经网络。本课程从对神经网络的全面定义开始。然后引导学习者了解神经网络的起源和发展。之后，它涵盖了神经网络的基本工作原理。在下一课中，本课程将指导学生设置他们的工作环境。最后，在最后一课中，本课程涵盖了学生自信地构建和训练神经网络所需的一切。

课程遵循以下结构

一、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. 搭建工作环境

5. 构建神经网络

这五节课将使任何人都能轻松地在 Python 中使用 TensorFlow 构建和训练神经网络。

本课程适用于
任何想学习使用 Python 构建神经网络的人

The best course to learn to build and train a Deep Neural Network (DNN) using TensorFlow & Python in 90 minutes

Published 07/2022
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 716 MB | Duration: 15 lectures • 1h 34m

What you’ll learn

The students will learn how a neural network works
They will also understand how the code machine learning algorithm in Google Colab
The students will be able to build and train deep neural network using TensforFlow in Python
The learners will be able to evaluate the performance of the network graphically

Requirements
Basic Python

Description

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 Network

2. Origin and Development of Neural Network

3. How Neural Network Works

4. Setting up the Working Environment

5. Building the Neural Network

These five lessons will make anyone comfortable to build and train neural networks using TensorFlow in Python.

Who this course is for
Whoever wants to learn to build neural network using Python