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.
What you'll learn
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.
Table of contents
- Introduction 2m
- TensorFlow Developer Certification Exam 2m
- Computer Vision Overview 4m
- Neural Network Foundations 4m
- Creating Your First Computer Vision Neural Network 8m
- Demo: Creating Your First Computer Vision Neural Network 7m
- Demo: Controlling Training Process Using Callbacks 5m
- Course Structure 2m
- Summary 2m
- Introduction 1m
- Challenges of Real World Images 2m
- Using TensorFlow ImageDataGenerator 2m
- Demo: Creating CNN Model with Real World Images 12m
- Demo: Embedding Pre-processing Layer Into Model Architecture 6m
- Demo: Using TensorFlow Datasets 6m
- Improving Model Performance Using Image Augmentation 3m
- Demo: Applying Image Augmentation 5m
- Summary 2m
About the author
Abhishek Kumar is a data science consultant, author, and Google Developers Expert (GDE) in machine learning. He holds a master’s degree from the University of California, Berkeley, and has been featured in the "Top 40 under 40 Data Scientist" list. He is also a public speaker and has delivered talks in top data conferences across the globe including Strata Data, AI conference, ODSC, and Fifth Elephant. His focus area is machine learning and deep learning at scale and is also a recipient of the... more