[Tensorflow2] Complete conquest of Python machine learning - Marathon record prediction project
This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.
383 learners
Level Intermediate
Course period Unlimited
(Big update) Create the model you want with Keras!
Hello , Nomad Creator Student everyone !
Yours To share good knowledge always Trying Nomad I am a creator .
'[OpenCV] Python Deep Learning Image processing Project 2 - Bad Apples In the 'Find it !' process, I introduced how to make the YOLO you want, and many people liked it. And 'Model accuracy is over 99% Please also praise the special lecture titled 'Raising the Barefoot'.
Then, I wondered whether I could create the desired model with TensorFlow Keras.
So I made it! I was thinking about including it in a new course, but I made the bold decision to update the existing course for free.
This is about creating a model by training with Keras using the same images used for YOLO training and identifying objects. You can also learn about training YOLO and Keras and compare them, right?
I'd like to update you on all the lectures, but I've included the following three lectures as [Special Lectures] because I think you'll find this content useful.
- [OpenCV] Python Deep Learning Image processing Project 2 - Bad Apples Find it !
- [ Raspberry Pi ] IoT Deep Learning Computer Vision Practice Project
- [ Mobile ] Deep Learning Computer Vision Practice Project
And '[OpenCV] Python Deep Learning Image processing Project 2 - Bad Apples I added a lecture so that those who are listening to the 'Find It !' lecture can understand YOLO accurately. YOLO is a representative SSD (Single Shot Detector) that identifies objects in an image at once. Whether it is a still image or a video is a matter of application. After creating a user-learned YOLO, I added a lecture on how easy it is to make it possible to identify multiple objects in real time with a webcam. Please refer to Section 11. My 'Program to identify apples and tangerines with webcam videos' lecture.
I'm going to tell you a little bit about a new course that I'm currently working on. I'm making a robot that uses deep learning technology. There's also a robot arm.
Please look forward to it, and we will complete the lecture and get back to you.
In the future too more good Contents Make it Sharing Nomad The creator It will be okay .
Stay healthy everyone.
thank you .