Learn to build a deep facial recognition application for authentication using Deep Learning with TensorFlow. The course covers scaling and resizing images, loading and labeling images with TensorFlow Dataloader, and splitting data pipelines for training and testing. The teaching method includes practical demonstrations and hands-on coding. This course is intended for developers interested in implementing facial recognition or verification in their applications.
Build a Deep Facial Recognition App - Preparing Data for Deep Learning - TF Dataloader
Overview
Syllabus
- Start
- Loading Image paths into tf.data
- Loading, Scaling and Resizing Images in a pipeline
- Creating Positive and Negative Samples
- Caching, Batching and Splitting the Pipeline
Taught by
Nicholas Renotte
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