Confusion Matrix, ROC curve, Precision, Recall and Accuracy in TensorFlow - Full Stack Deep Learning

Описание к видео Confusion Matrix, ROC curve, Precision, Recall and Accuracy in TensorFlow - Full Stack Deep Learning

Accuracy tends to be the number one performance metric, we think of, when building Binary Classification models. In this course, we shall look at other metrics like Precision and Recall which may even be better alternatives to the accuracy.
We also treat confusion matrices and ROC plots in this tutorial.

This video is part of this playlist:    • Full Stack Deep Learning Featuring Te...  

Hi,
You can use this Link to access our premium courses. You'll be able to build and deploy more than 20 different AI projects.
https://neuralearn.podia.com/?coupon=... (30 days money back guarantee)

[Please check your mail 5 minutes after requesting access ]
Colab Notebook for TensorFlow 2: https://colab.research.google.com/dri...
Colab Notebook for PyTorch:
https://colab.research.google.com/dri...

Check out:
Course on Deep Learning for Computer Vision: https://neuralearn.ai/course/computer...
Course on Deep Learning for Natural Language Processing: https://neuralearn.ai/course/natural_...
Course on Deep Learning for Image Generation: https://neuralearn.ai/course/image_ge...
Course on Deep Learning for Object Detection: https://neuralearn.ai/course/object_d...

Connect with us here:
Twitter:   / neulearndotai  
Facebook: link  / neuralearnai-107372484374170  
LinkedIn   / neuralearn  
Mail: [email protected]

Комментарии

Информация по комментариям в разработке