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Course ID: 311023 Computer Vision with TensorFlow
Computer Vision with TensorFlow

Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This course will explore TensorFlow 2, Google's open-source framework for machine learning. Join us to learn how to use convolutional neural networks (CNNs) for your visual tasks.

This course starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network. You'll discover the features that made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently.

Complete with concrete code examples, this course shares how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. During class, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.

Events 2
Duration 4 Days
Price
Course ID: 311023 Computer Vision with TensorFlow
Computer Vision with TensorFlow

Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This course will explore TensorFlow 2, Google's open-source framework for machine learning. Join us to learn how to use convolutional neural networks (CNNs) for your visual tasks.

This course starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network. You'll discover the features that made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently.

Complete with concrete code examples, this course shares how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. During class, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.

Events 2
Duration 4 Days
Price
Course ID: 245577 Improving Employee Accountability
Improving Employee Accountability
Improving Employee Accountability course is offered multiple times in a variety of locations and training topics.
Events 4
Duration 1 Day
Price