120 Dog Breeds, more than 10,000 Images: Deep Learning Tutorial for dogs classification 🐕‍🦺

📽️ In our latest video tutorial, we will create a dog breed recognition model using the NasLarge pre-trained model 🚀 and a massive dataset featuring over 10,000 images of 120 unique dog breeds 📸.

What You'll Learn:

🔹 Data Preparation: We'll begin by downloading a dataset of of more than 20K Dogs images, neatly categorized into 120 classes. You'll learn how to load and preprocess the data using Python, OpenCV, and Numpy, ensuring it's perfectly ready for training.

🔹 CNN Architecture and the NAS model : We will use the Nas Large model , and customize it to our own needs.

🔹 Model Training: Harness the power of Tensorflow and Keras to define and train our custom CNN model based on Nas Large model . We'll configure the loss function, optimizer, and evaluation metrics to achieve optimal performance during training.

🔹 Predicting New Images: Watch as we put our pre-trained model to the test! We'll showcase how to use the model to make predictions on fresh, unseen dinosaur images, and witness the magic of AI in action.

Check out our tutorial here : https://youtu.be/vH1UVKwIhLo&list=UULFTiWJJhaH6BviSWKLJUM9sg

You can find link for the code in the blog : https://eranfeit.net/120-dog-breeds-more-than-10000-images-deep-learning-tutorial-for-dogs-classification/

You can find more tutorials, and join my newsletter here : https://eranfeit.net/

Enjoy

Eran