Overview
data set as an example, we’ll illustrate how the application can be easily applied to a variety of manufacturing use cases. Developers
will also learn to identify and mitigate common pitfalls in deep learning-based computer vision tasks, and be able to deploy and
measure the effectiveness of their AI solution.
What You Will Learn :
-
Extract meaningful insights from the provided data set using Pandas DataFrame.
-
Apply transfer-learning to a deep learning classification model.
-
Fine-tune the deep learning model and set up evaluation metrics.
-
Deploy and measure model performance.
-
Experiment with various inference configurations to optimize model performance.
Who should attend ?
- AI developers and researchers
- AI enthusiasts
- Data scientist
- ML engineers
Prerequisites :
- Experience with Python
- Basic understanding of data processing and deep learning