Object Localization with TensorFlow
Create synthetic data for model training
Create and train a multi output neural network to perform object localization
Create custom metrics and calbacks in Keras
Demuestra esta experiencia práctica en una entrevista
Welcome to this 2 hour long guided project on creating and training an Object Localization model with TensorFlow. In this guided project, we are going to use TensorFlow's Keras API to create a convolutional neural network which will be trained to classify as well as localize emojis in images. Localization, in this context, means the position of the emojis in the images. This means that the network will have one input and two outputs. Think of this task as a simpler version of Object Detection. In Object Detection, we might have multiple objects in the input images, and an object detection model predicts the classes as well as bounding boxes for all of those objects. In Object Localization, we are working with the assumption that there is just one object in any given image, and our CNN model will classify and localize that object. Please note that you will need prior programming experience in Python. You will also need familiarity with TensorFlow. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like Gradient Descent but want to understand how to use use TensorFlow to solve computer vision tasks like Object Localization.
Prior programming experience in Python. Conceptual understanding of Neural Networks. Prior experience with TensorFlow and Keras.
Habilidades que desarrollarás
- Deep Learning
- Machine Learning
- Tensorflow
- Computer Vision
- keras
Aprende paso a paso
En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:
Introduction
Download and Visualize Data
Create Examples
Plot Bouding Boxes
Data Generator
Model
Custom Metric: IoU
Compile the Model
Custom Callback
Model Training
Cómo funcionan los proyectos guiados
Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.
En un video de pantalla dividida, tu instructor te guía paso a paso
Reseñas
Principales reseñas sobre OBJECT LOCALIZATION WITH TENSORFLOW
A very good and helpful project for object detection. It would be absolute 5-stars guided-project if there was also an example for multiple object detection.
I really liked the course and how it was the next step from a classification problem.
Preguntas Frecuentes
Preguntas Frecuentes
¿Hay proyectos guiados disponibles en computadoras de escritorio y dispositivos móviles?
¿Quiénes son los instructores para proyectos guiados?
¿Puedo descargar el trabajo de mi proyecto guiado después de completarlo?
¿Cuánta experiencia necesito para hacer este proyecto guiado?
¿Puedo completar este proyecto guiado directamente a través de mi navegador web, en lugar de instalar un software especial?
¿Cómo es la experiencia de aprendizaje con los proyectos guiados?
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