Managing Large Datasets using Convolutional Neural Networks (CNNs) Video

Managing Large Datasets using Convolutional Neural Networks (CNNs) Video

Objectives:

1. Become proficient with Google Colaboratory (Colab). Colaboratory is a free Jupyter notebook environment that requires no setup and runs entirely in the cloud. Colaboratory provides free GPUs and TPUs.
2. Use image data augmentation with large datasets.
3. Minimize model overfitting using augmentation.
4. Create a validation set from the training set.
5. Train the model for the validation set.
6. Build a validation generator and create a visualization of the validation set during this session.
7. Build an image pipeline to perform data augmentation.
8. Perform data augmentation on the fly using the Tiny Imagenet dataset containing 200 classes.
9. Handle validation data in the image pipeline.
10. Practice working with data when there is no structure present.

Instructor: Advait Jayant

Length: 1.5 hours

Access period: For one year starting from purchase date