🎥 Image Classification Tutorial Series: Five Parts 🐵
In these five videos, we will guide you through the entire process of classifying monkey species in images. We begin by covering data preparation, where you’ll learn how to download, explore, and preprocess the image data.
Next, we delve into the fundamentals of Convolutional Neural Networks (CNN) and demonstrate how to build, train, and evaluate a CNN model for accurate classification.
In the third video, we use Keras Tuner, optimizing hyperparameters to fine-tune your CNN model’s performance. Moving on, we explore the power of pretrained models in the fourth video,
specifically focusing on fine-tuning a VGG16 model for superior classification accuracy.
Lastly, in the fifth video, we dive into the fascinating world of deep neural networks and visualize the outcome of their layers, providing valuable insights into the classification process
Video 4: Fine-tuning with Pretrained VGG16:
🔧 Discover the power of pretrained models by fine-tuning a VGG16 model for monkey species classification.
In this part we will focus of classify the monkeys images using Transfer learning .
So basically , we will take the pre-trained VGG16 model , get rid of the last layer , and replace and retrain it to our images and required classes.
You can find the link for the video tutorial here : https://youtu.be/p9l9AgiVsqI&list=UULFTiWJJhaH6BviSWKLJUM9sg
You can find the code in this link : https://ko-fi.com/s/8fbd4679f6
Enjoy
Eran