8 PM – AI/ML – Joel

Today we did:

1. We continued with cat-vs-dog classification by training and using the model to predict an image.

Homework:

1. In the same way we took a test image and used it to for the model prediction, do the same thing but with the opposite class. What I mean is, if you took a cat image during a class, take a dog image and use the model to perform prediction on it. If you took a dog image during class, take a cat image and use the model to perform prediction on it. Remember, the steps are:
   1. Take a random image from the internet of a cat/dog
   2. Save it into your computer.
   3. In your Kaggle notebook, click “File” and “Upload Input”. Then, upload your image from your computer into Kaggle. You can name the dataset cat-images if you’re uploading a cat image, for example.
   4. Use the same model to make a prediction on this new test image.
2. Make sure to do the homework before next class and send the link of the notebook to my email: joel@ayclogic.com.
3. If you forgot or aren’t sure how to share your notebook, you can look at this event for the detailed steps: https://www.ayclogic.com/event/10-am-ai-ml-joel/

If you have any questions, feel free to email me at joel@ayclogic.com.