Hello and Welcome guys
In this project, we'll learn how to make a powerful deep-learning model for 38 different classes of image
In this video, we'll learn how we can calculate confusion matrix of convolution neural network deep learning model
We'll see what is significance of confusion matrix
We'll also learn to perform data visualization of confusion matrix using seaborn and matplotlib python library
Later in the upcoming video of this playlist, we will do image prediction on some random images that is our test image
#imageclassification #tensorflow #deeplearning #imageprocessing #python
#machinelearning #convolutionalneuralnetworks #trainingmodel #overfitting #datavisualization #accuracy #validation #json #precision #recall #modelevaluation
#endtoendmachinelearningproject #datascienceprojects
Playlist Link: • Plant Disease Detection System Introductio...
Keras Model Evaluation:
https://keras.io/api/models/model_tra...
Sci-kit Learn Confusion Matrix Documentation:
http://scikit-learn.org/stable/module...
Seaborn heatmap Documentation:
https://seaborn.pydata.org/generated/...
Project Link: https://github.com/animesh1012/machin...
Trained Model Link (keras file): https://drive.google.com/file/d/1OK9j...
Dataset Link:
https://www.kaggle.com/datasets/vipoo...
Entire Project Code:
https://drive.google.com/drive/folder...