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 train the deep learning model and we'll discuss in detail how to avoid the problem of underfitting, overfitting, and most importantly the problem of overshooting loss function
Also, we'll improve our model performance by modifying the model architecture
Later in the upcoming video of this playlist, we will evaluate our model performance
#imageclassification #tensorflow #deeplearning #imageprocessing #python
#machinelearning #convolutionalneuralnetworks #trainingmodel #overfitting #underfitting
#endtoendmachinelearningproject #datascienceprojects
Playlist Link: • Plant Disease Detection System Introductio...
Convolutional Network Stanford Cheatsheet: https://stanford.edu/~shervine/teachi...
Adam Optimizer: https://www.tensorflow.org/api_docs/p...
Conv2D Padding: https://keras.io/api/layers/convoluti...
Project Link: https://github.com/animesh1012/machin...
Dataset Link:
https://www.kaggle.com/datasets/vipoo...
Entire Project Code:
https://drive.google.com/drive/folder...