AI4ALL- Basics in Convolutional Neural Network

AI4ALL: Basics in Convolutional Neural Network, available at Free, has an average rating of 4.5, with 11 lectures, 3 quizzes, based on 23 reviews, and has 2180 subscribers.

You will learn about Learn about the basics of Convolutional Neural Network models without any prior knowledge Learn to use python to design a Convolutional Neural Network model without any prior knowledge Learn from top tier Data Scientists to build Convolutional Neural Network models for production Learn to develop your own customized Convolutional Neural Network models This course is ideal for individuals who are Pre-college level students interested in neural network models It is particularly useful for Pre-college level students interested in neural network models.

Enroll now: AI4ALL: Basics in Convolutional Neural Network

Summary

Title: AI4ALL: Basics in Convolutional Neural Network

Price: Free

Average Rating: 4.5

Number of Lectures: 11

Number of Quizzes: 3

Number of Published Lectures: 11

Number of Published Quizzes: 3

Number of Curriculum Items: 14

Number of Published Curriculum Objects: 14

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Learn about the basics of Convolutional Neural Network models without any prior knowledge

Learn to use python to design a Convolutional Neural Network model without any prior knowledge

Learn from top tier Data Scientists to build Convolutional Neural Network models for production

Learn to develop your own customized Convolutional Neural Network models

Who Should Attend

Pre-college level students interested in neural network models

Target Audiences

Pre-college level students interested in neural network models

This course is created to follow up with the AI4ALL initiatives. The course presents coding materials at a pre-college level and introduces a fundamental pipeline for a neural network model. The course is designed for the first-time learners and the audience who only want to get a taste of a machine learning project but still uncertain whether this is the career path. We will not bored you with the unnecessary component and we will directly take you through a list of topics that are fundamental for industry practitioners and researchers to design their customized neural network model.  The course focuses on Convolutional Neural Network models and introduce the important building block using Tensorflow.

This instructor team is lead by Ivy League graduate students and we have had 3+ years coaching high school students. We have seen all the ups and downs. Moreover, we want to share these roadblocks with you. This course is designed for beginner students at pre-college level who just want to have a quick taste of what AI is about and efficiently build a quick Github package to showcase some technical skills. We have other longer courses for more advanced students. However, we welcome anybody to take this course!

Course Curriculum

Chapter 1: Convolutional Neural Networks

Lecture 1: Introduction

Lecture 2: CIFAR10 Dataset

Lecture 3: Data Processing: CIFAR10

Lecture 4: Convolutional Operation Theory

Lecture 5: Pooling

Lecture 6: Fully Connectedness

Lecture 7: Conv2D Layer

Lecture 8: First Convolutional Neural Network Model

Chapter 2: Transfer Learning

Lecture 1: Transfer Learning Concept

Lecture 2: VGG16

Lecture 3: Transfer Learning Using VGG16

Instructors

Yiqiao Yin
Data Science, Machine Learning, and Artificial Intelligence

Rating Distribution

1 stars: 1 votes

2 stars: 3 votes

3 stars: 4 votes

4 stars: 4 votes

5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!