Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)
In this video we will go over following concepts,
What is true positive, false positive, true negative, false negative
What is precision and recall
What is F1 score
We will also write simple code to compare dog vs non dog labels and print all above measures on them
Code: https://github.com/codebasics/deep-learning-keras-tf-tutorial/blob/master/12_precision_recall/12_precision_recall.ipynb
Next video: https://www.youtube.com/watch?v=lcI8ukTUEbo&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=20
Previous video: https://www.youtube.com/watch?v=MSBY28IJ47U&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=18
Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
Website: http://codebasicshub.com/
Facebook: https://www.facebook.com/codebasicshub
Twitter: https://twitter.com/codebasicshub
DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
Видео Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python) канала codebasics
What is true positive, false positive, true negative, false negative
What is precision and recall
What is F1 score
We will also write simple code to compare dog vs non dog labels and print all above measures on them
Code: https://github.com/codebasics/deep-learning-keras-tf-tutorial/blob/master/12_precision_recall/12_precision_recall.ipynb
Next video: https://www.youtube.com/watch?v=lcI8ukTUEbo&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=20
Previous video: https://www.youtube.com/watch?v=MSBY28IJ47U&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=18
Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
Website: http://codebasicshub.com/
Facebook: https://www.facebook.com/codebasicshub
Twitter: https://twitter.com/codebasicshub
DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
Видео Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python) канала codebasics
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Dropout Regularization | Deep Learning Tutorial 20 (Tensorflow2.0, Keras & Python)
Never Forget Again! // Precision vs Recall with a Clear Example of Precision and Recall
Tutorial 34- Performance Metrics For Classification Problem In Machine Learning- Part1
ROC and AUC, Clearly Explained!
What math and science cannot (yet?) explain
Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)
Precision, Recall & F-Measure
Handling imbalanced dataset in machine learning | Deep Learning Tutorial 21 (Tensorflow2.0 & Python)
105 Evaluating A Classification Model 6 Classification Report | Creating Machine Learning Models
(Code) How to code out Confusion Matrix Metrics in Python? | Machine Learning
Popular datasets for computer vision: ImageNet, Coco and Google Open images | Deep Learning 29
Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV)
Machine Learning Fundamentals: The Confusion Matrix
Precision vs. Recall vs. Accuracy | Classification Models KPIs | Confusion Matrix
He cracked FAANG interviews in 10 companies including Amazon, Facebook, UBER, Microsoft
Tutorial 41-Performance Metrics(ROC,AUC Curve) For Classification Problem In Machine Learning Part 2
Converting words to numbers, Word Embeddings | Deep Learning Tutorial 39 (Tensorflow & Python)
Machine Learning Fundamentals: Sensitivity and Specificity
Tensorboard Introduction | Deep Learning Tutorial 16 (Tensorflow2.0, Keras & Python)