TensorFlow Developer Certificate - Image Classification

As part of the TensorFlow Developer certification, this course focuses on computer vision. By the end of the course, you will know everything to build computer vision neural networks that can handle complex real-world images using TensorFlow.

Computer vision, especially Image Classification, is one of the most exciting areas of AI and Machine learning with ground-breaking real-world applications. As part of the TensorFlow Developer certification, this course focuses on image classification leveraging the TensorFlow framework. In this course, TensorFlow Developer Certificate - Image Classification, you’ll gain the ability to build, train, evaluate, and tune computer vision neural network models using the TensorFlow framework. First, you’ll explore computer vision and its application and how Convolutional Neural Networks can be built and used for image classification use cases. Next, you’ll discover techniques and TensorFlow components for handling complex and real-world images, such as ImageGenerator and image augmentation. Finally, you’ll learn how to apply transfer learning techniques to improve model performance and extend the binary classification setup to multi-class classification problems. When you’re finished with this course, you’ll have the skills and knowledge of TensorFlow components needed to build computer vision neural works for image classification.

• Course Overview 1min
• Getting Started With Computer Vision 35mins
• Understanding Convolutional Neural Networks 29mins
• Dealing with Real-world Images 39mins
• Applying Transfer Learning 20mins
• Creating Multi-class Classification Model 22mins
• Summary 6mins