This Project course is really helpful for me. I was trying to implement yolo in my project and this course helped how to implement YOLO from scratch.
It is very much helpful for my new project call face recognition.if u are interested in doing computer vision types work this course may help you.
By Muhammad M
•Did not get anything other than getting to know what commands to enter into the terminal to run the code. The commands are already there on the darknet website but I am not sure why the fuck is this course designed like this to waste your time and get nothing out of this project.
By Asad K
•This is the second guided project I have tried on Coursera and the second consecutive time I have been disappointed. There is a severe disconnect between the description of the project and the actual material. Specifically, the following points in the project description were never discussed:
2. Explore the Dataset
3.Setup Training and Validation Data Generators
4. Create a Convolutional Neural Network (CNN) Model
5. Train and Evaluate Model
6. Save and Serialize Model as JSON String
7. Create a Flask App to Serve Predictions
9. Design an HTML Template for the Flask App
10. Use Model to Recognize Facial Expressions in Videos (?? why is this here anyway?)
There were the good old days when you could access high-quality material on Coursera for free. Alas, now it seems you pay for outright false advertisements and subpar material. I keep coming back out of sheer optimism but if it keeps going in this direction the future of this platform looks bleak to me.
By Abhinav M
•The course description was misleading. The tutor only laid down some simple scripts and never talked about creating a neural network from scratch or whatever. This is a delusional course and must be taken offline immediately, This is a fake course. If possible please refund my money. I do not see an option for that. I felt cheated!
By Rhitvik S
•The quiz is entirely unrelated to the project. Used to better from Coursera, this course is haphazardly structured.
By Рюмин Д
•The course does not match the description. The authors of the course declare in the description of topics that in fact have not been touched at all. Maybe my link was different, but so far I am very disappointed ...
By Shoumik D
•The yolov3 python file was missing. Couldn't complete the entire project. The graded quiz was on 'facial recognition' whereas the project was on 'object detection with YOLOv3'
By Ha T L
•The course does not match its description at all. Learned nothing!
By Julien B
•Waste of time - Not as described - Tons of errors (e.g. missing file) - Final test is 1 true/false question. Laughable content - A shame to Coursera
By Shubhkarmandeep K
•Not enough knowledge was provided
By Shehroz A
•The Worst external tool is used in this Project.
By Tanmoy B
•most apathetic instructor
By NARESH K K J
•While start learning it seems to very difficult and i cant the follow the instruction on both the side by practicing it seems to easy and learnt a new stream techonolgy from this course ,I thank who support for me
Thank you😊😊
By Md. H H
•It is very much helpful for my new project call face recognition.if u are interested in doing computer vision types work this course may help you.
By V S C M
•If you are here to learn YOLO from scratch, this course is not for you. This course expects you to have foreknowledge of what YOLO is and how is it run.
By Ansuman D
•quiz was not about the project
By 马韶光
•为什么没有看到课程更多内容只看到了大纲就结束了?
By Islam F
•It is a good course in terms of walking you through the project and giving you insights about different performance metrics. I would love to see in the future more courses that dedicate a lesson on configuring the working environment for the students, since most of us will have to do it anyway on our machines after the course. It doesn't make sense to ignore this aspect.
By HAY a
•Great course and I actually build some cool stuff out of the 1-2 hour training. Great lecture by Mr. Snehan Kekre! Love the course so much and I hope there will be more course on data processing and preparation for training and testing a machine learning algorithm as well as their deployment on the web app and mobile.
By SIDDARTH G
•This Project course is really helpful for me. I was trying to implement yolo in my project and this course helped how to implement YOLO from scratch.
By Omkar k
•This course was awesome and clear my many doubts .In this course I learnt a lot about real time object detection and use of yolov3. Thank you
By Herman T
•It will be great if setting up the development environment would be great. But the course is exactly what i was looking for
By Mohamed R M H
•Just a great idea to have a hands-on project with Coursera, Thanks for the instructor and Coursera team
By SACHIN V S
•Audio of the speaker was missing in some parts. Please insert subtitles.
By Gangone R
•very useful course
By ITB437 E S
•great lecture