Deep Dive into Model Interpretability: Visualizing Layers for Monkey Species | part 5

Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images. Each video focuses on a specific aspect of the process, providing you with a well-rounded understanding of the subject matter. Join us as we cover data preparation, classic CNN classification, hyperparameter tuning with Keras Tuner, fine-tuning a pretrained model (VGG16), and exploring the outcome of deep neural network layers. Get ready to dive into the world of monkey species classification and enhance your knowledge with practical examples and expert tips.

Video 1: Data Preparation Tutorial: In the first video of our series, we will walk you through the essential steps of data preparation for monkey species classification. Discover how to download the necessary image data and explore its characteristics. Learn how to preprocess and format the data to ensure it is ready for the subsequent phases of the classification process. By the end of this tutorial, you will have a well-prepared dataset, laying the foundation for accurate and efficient classification.

Video 2: CNN Classification Tutorial: Our second video focuses on the fundamental method of classifying monkey species using a Convolutional Neural Network (CNN). Join us as we guide you through the process of writing a CNN model, training it using the prepared dataset, and evaluating its performance. Gain insights into the inner workings of CNNs and witness their effectiveness in accurately classifying monkey species based on image data.

Video 3: Enhancing Classification with Keras Tuner: In the third video, we take the CNN classification tutorial to the next level by incorporating Keras Tuner. Discover how to optimize the performance of your CNN model by automatically searching for the best hyperparameters. Learn how to leverage the power of Keras Tuner to fine-tune your model and achieve even more accurate results in classifying monkey species.

Video 4: Fine-tuning with Pretrained VGG16: In the fourth video, we explore an alternative approach to image classification by utilizing a pretrained model, specifically VGG16. Join us as we guide you through the process of fine-tuning the VGG16 model for the task of monkey species classification. Learn how to adapt a powerful pretrained model to accurately classify monkey species and leverage its advanced features for improved results.

Video 5: Visualizing Deep Neural Network Layers: In our fifth and final video, we delve into the fascinating world of model interpretability by exploring the outcome of deep neural network layers. Witness what a trained network "sees" as we dissect the layers and visualize their outputs for a specific class. Gain a deeper understanding of how the network processes and interprets images, providing valuable insights into the classification process.

This is the link for the Playlist : https://youtube.com/playlist?list=PLdkryDe59y4ZO3WjBjcEUP1drjPcVvRBA

This is a link for more Tensorflow tutorials : https://youtube.com/playlist?list=PLdkryDe59y4Ze9_12JhWu3cs-lOGYwYeD

This is a link for more cool Python libraries and projects : https://youtube.com/playlist?list=PLdkryDe59y4YOtOt2jqSjxGFe9BNh4wug

Enjoy Eran

You can find the code in this link : https://github.com/feitgemel/TensorFlowProjects/tree/master/Monkey-Species

Chapters : 00:00 Intro 00:45 Extract the filters 09:34 Visual the result of the neurons after training

A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book for deep dive in deep learning : https://amzn.to/3TTZym7
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