Key features

• •Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras
• •Apply modern solutions to a wide range of applications such as object detection and video analysis
• •Learn how to run your models on mobile devices and webpages and improve their performance
• •Create your own neural networks from scratch
• •Classify images with modern architectures including Inception and ResNet
• •Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net
• •Tackle problems in developing self-driving cars and facial emotion recognition systems
• •Boost your application's performance with transfer learning, GANs, and domain adaptation
• •Use recurrent neural networks for video analysis
• •Optimize and deploy your networks on mobile devices and in the browser
• •Computer Vision and Neural Networks
• •TensorFlow Basics and Training a Model
• •Modern Neural networks
• •Influential Classification Tools
• •Object Detection Models
• •Enhancing and Segmenting Images
• •Training on Complex and Scarce Datasets
• •Video and Recurrent Neural Networks
• •Optimizing Models and Deploying on Mobile Devices
• •Appendix