Machine Learning in JavaScript with TensorFlow.js (Udemy.com)

The course is ok, but some of the tensorflow uses are presented without the proper context. I do have a real problem with the music at the beginning of each segment. By some reason the VOLUME GOT JACKED UP every time it played and being of a high pitch it is really annoying. Also It takes around 12 sec at the beginning of EACH video to play it. I just try to push mute button and wait it out

I have taken many courses on artificial intelligence from Udemy. This was the easiest to understand and practically applicable among them. The trainer's voice is a little low, but the content is of good quality.

It's a fine course. I felt like it could be better. I know there is no much development with TensorFlow.js but I think the instructor could expand a little better in the information he is giving. Anuways it was a great coruse and I got to learn things I was missing about tensorFlow

Pros: - The content is great. - The examples are relevant and are allowing you to build on top of them. Cons: - The high audio volume at the begging and at the end of each video is the most disturbing thing you can have when you need to focus. Why would you add it to literally every video, it makes no sense to me.

The course content is good and meet what I expected. However, the delivery could be much better if the instructor voice were louder and the music at the beginning/end were at lower volume. It is annoying to keep adjusting the volume whenever the lesson starts or ends with that unnecessary loud music.

Excellent tutorial on tfjs that I am looking for! John manages to deliver ML concepts under the context of JS clearly. Highly recommend for JS people who would like to have a taste of ML!

I wish the examples were using pictures/computer vision as that is one of the most common application ue of tensorflow.js Also, I feel the lectures do not really explain the reasoning behind all the things. I would prefer less of general ML, which is not necessary for me and more of explanation about javascript and tensorflow.js syntax that can be used to achieve different results

I read two books about neural network theoretical basics and now i wanted to learn something practical. The author gives very clear explenations and explains everything very visually. The code is clean and easy to understand. The only thing i would change is the loud music at the beginnig and end, its a bit annoying. I really recommend this course! I would love to see other courses from the author with more practical examples.

One of the best courses on TensorFlowJS, especially with the focus on the Layers API and neural networks. I found this focus to be extremely helpful for a project I am preparing and this course has been indispensable with equipping with the basic know how to tackle my project. So a big thank you to the creators! The only feedback I have is regarding the multi-class classification section related to one hot encoding. I feel that the reason of why we use one hot encoding was a bit glossed over and could be explained in greater depth. More specifically, I feel that an explanation of why one hot encoding would be considered a recommended practice in use cases would be especially helpful. I traced some connections to this in some of the later videos, but a more explicit focus would be really helpful. Anyway, thanks again for the great course! I'm looking forward to more content :)

I have now completed the course, took me about ~50 hours to finish this. My background was in Python but still the instructor made it easy to understand concepts and explains all the code line by line. Every question on the Q&A section is answered by Justin which shows the commitment towards the course. Tips: 1. Do code along with the instructor and check each step to get a better understanding at why we are doing things. 2. Complete all the Lab exercises, they force us to think and find a solution. 3. Download your own datasets and try to implement the learning from this course. Read the API docs and reference material which are pointed out the instructor several times in the course. Practice, Practice and get Perfect. This is a great course for anyone looking to get theirs hands on machine learning. I am looking forward to some deep learning courses from the team. Justin and team, thank you for a wonderful course I gained quality knowledge and skills which I can apply for real world problems.

Nothing wrong just cautious with rating

Root concepts are clearly explained