Artificial Intelligence - TensorFlow Machine Learning (Udemy.com)

AI and Machine Learning from theory to the required hands-on experience by using latest TensorFlow JavaScript framework

( 9 Reviews )

Created by: Vinay Phadnis

Produced in 2021

What you will learn

Understand Machine Learning from basics
Understand the basics of a neural network
Understand basics of Tensor operations for Tensorflow
Create project using Polynomial Regression
Create basic HTML, Javascript projects
Use JSFiddle to create Javascript applets
Use NodeJs to create comprehensive machine learning projects

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 60 / 100

Course Description

This course teaches machine learning from the basics so that you can get started with created amazing machine learning programs. With a well structured architecture, this course is divided into 4 modules:

Theory section: It is very important to understand the reason of learning something. The need for learning machine learning and javascript in this particular case is explained in this section.
Foundation section: In this section, most of the basic topics required to approach a particular problem are covered like the basics of javascript, what are neural networks, dom manipulation, what are tensors and many more such topics
Practice section: In this section, you put your learnt skills to a test by writing code to solve a particular problem. The explanation of the solution to the problem is also provided in good detail which makes hands-on learning even more efficient.
Project section: In this section, we build together a full stack project which has some real life use case and can provide a glimpse on the value creation by writing good quality machine learning programs

Happy Coding,
Vinay Phadnis :)Who this course is for:

Beginners: Getting started with Tensorflow
Intermediates: Learn by having an integrated platform
Experts: Further polishing your skills

Time: 9.5h

Instructor Details

Vinay Phadnis

3.0 Rating
9 Reviews

I am a freelance programmer by profession and contributor to many open source projects.
Extensive experience in -
Technologies: Artificial Intelligence, Machine Learning, Blockchain, Quantum Computing, Decentralisation, Mathematical Modelling, Data Analysis
Frameworks: TensorFlow, Cirq, Flutter, Genetic Evolutionary Algorithms
Languages: Python, Java, Dart, JavaScript, Go, Shell Scripting
Conducted many training programmes on new and upcoming technologies. My speciality is in breaking any seemingly complex topic into basic building blocks along with correlation to real life scenarios. You will inherently find me using the word Basically while explaining concepts :)
I take special interest in Quantum Computing, Machine Learning as prominent future technologies and I am amazed by what role AI has already taken in our lives.
I take inspiration from frameworks and patterns found in nature. I consider nature as our best teacher for learning the next evolution of computing.
I invite you on this journey of exploring and sharing the fascinating world of computing.

Happy Coding and Enjoy Learning !
VInay Phadnis

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Reviews

3.0

9 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By Shibu

Instructor really responsive and provided me quick resolution to the solution.

By Markus Kaukonen

Too much material that has not to do with tensorflow.js

By Santhosh Maila

too much talking and no meat

By Iman Nassirian

worst corse ever!

By Vilinay

TensorFlow is a promising new framework in Machine Learning. This course provides most essential topics to gain a good grip on this technology with Javascript as a tool !

By Vilina

Good beginner friendly course teaching concepts from basics

By Eliecer Diaz Diaz

yeah good course!

By Jakub Bartczuk

Disclaimer: I'm a ML engineer with basic understanding of Javascript.

This course isn't worth the money if you have only basic understanding of JS. The provided examples don't work out of the box - they need to be fixed to even run on Linux, let alone give correct results. This requires lots of plumbing.

The presentation style is decent though, but it could use some more structure (like noting which file will be edited in which video).

Overall course is OK, but very rough at the edges, maybe author will polish that.