AI4ALL: Basics in Artificial Neural Network

AI4ALL: Basics in Artificial Neural Network, available at Free, has an average rating of 4.35, with 13 lectures, 4 quizzes, based on 11 reviews, and has 1145 subscribers.

You will learn about Learn about the basics of neural network models without any prior knowledge Learn to use python to design a neural network model without any prior knowledge Learn from top tier Data Scientists to build neural network models for production Learn to develop your own customized 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 Artificial Neural Network

Summary

Title: AI4ALL: Basics in Artificial Neural Network

Price: Free

Average Rating: 4.35

Number of Lectures: 13

Number of Quizzes: 4

Number of Published Lectures: 13

Number of Published Quizzes: 4

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Learn about the basics of neural network models without any prior knowledge
Learn to use python to design a neural network model without any prior knowledge
Learn from top tier Data Scientists to build neural network models for production
Learn to develop your own customized 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 the Artificial 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: Artificial Neural Networks

Lecture 1: Load and Save Data

Lecture 2: One Hot Encode

Lecture 3: Rescale Data

Lecture 4: Activation and Softmax Function

Lecture 5: Regularization

Lecture 6: Build a Neural Network Model

Lecture 7: Loss Function

Lecture 8: Optimization

Lecture 9: Compiler

Lecture 10: Fit and Train

Lecture 11: Evaluation and Accuracy

Lecture 12: Save and Load Model

Lecture 13: Create Installable Git Package

Instructors

Yiqiao Yin
Data Science, Machine Learning, and Artificial Intelligence

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 0 votes
5 stars: 7 votes

Frequently Asked Questions

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

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