🎥 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 2: CNN Classification Tutorial:
🔍 In this tutorial we will learn how to classify monkey species using Convolutional Neural Networks (CNN).
We will Discover the process of building, training, and evaluating a CNN model to achieve very good results in monkey species identification.
And last we will you a transfer learning to classify the images differently.
This is the link for part 2: https://youtu.be/FfmE3WWKDgE&list=UULFTiWJJhaH6BviSWKLJUM9sg
You can find the code in this link : https://ko-fi.com/s/8fbd4679f6
Enjoy
Eran