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
Created by: Vinay Phadnis
Last updated January 2019
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
How it compares
Against the other 205 rated Udemy courses in Artificial Intelligence on CourseDuck:
- Rating3.7 out of 5higher than 4% of them
- Reviews24#197 of 206 by number of reviews
- Length9.3 hourslonger than 70% of them
- Last updatedJanuary 2019earlier than 94% of them
Quality Score
Overall Score : 74 / 100
Course Description
- 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
Vinay Phadnis :)Who this course is for:
- Beginners: Getting started with Tensorflow
- Intermediates: Learn by having an integrated platform
- Experts: Further polishing your skills
Instructor Details
- 3.7 Rating
24 Reviews
Vinay Phadnis
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
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.
By Freddy Mangelschots
A lot of time is spend on basic 101 html and js stuff, but when it comes down to Tensorflow, the indepth explanation is missing







