Video: .MP4, AVC, 1280×720, 30 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 4h 3m | 678 MBInstructor: Tobias ZwingmannTrain and predict your models using the Google Cloud ML EngineKey FeaturesA quick and easy start with the Google Cloud platform to scale up your training and predictionWork with various practical examples to train your deep learning training modelsUse your trained TensorFlow models to predict for thousands of requestsWhat You Will LearnGet access to powerful computers with GPUs organized in clusters to optimize your performanceTrain bigger models faster using the Google Cloud infrastructureExplore machine types and learn how to configure clusters to solve problemsTrain deep learning models using the Google Cloud ML EngineRun classical machine learning algorithms with TensorFlowBuild a state-of-the-art object detection networkRun your trained models to get predictions using the ML Engine APIAboutTensorFlow has become the first choice for deep learning tasks because of the way it facilitates building powerful and sophisticated neural networks.

The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction.

This course shows you how to use Google Cloud to train TensorFlow models and use them to predict results for multiple users.

You will learn to efficiently train neural networks using large datasets and to serve your training models.

With this video course, you will use the power of Google’s Cloud Platform to train deep neural networks faster.

This course supplies various examples of training in Google Cloud ML Engine.

You will also learn to run predictions for your model using the cloud.

You will explore topics such as cloud infrastructures, convolutional neural networks, training deep networks, model serving, and more.

By the end of the course, you will be expert at training and serving neural models, and beyond.

The code files and related files are placed on GitHub at github.com/PacktPublishing/Google-Cloud-Machine-Learning-with-TensorFlow