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Introduction to TensorFlowГод выпуска: 2020
Производитель: Pluralsight
Сайт производителя: Pluralsight.com
Автор: Google Cloud
Продолжительность: 1h 59m
Тип раздаваемого материала: Видеоклипы
Язык: Английский
Субтитры: Английские
Описание: This course is focused on using the flexibility and “ease of use” of TensorFlow 2.x and Keras to build, train, and deploy machine learning models. You will learn about the TensorFlow 2.x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises. We will introduce you to working with datasets and feature columns. You will learn how to design and build a TensorFlow 2.x input data pipeline. You will get hands-on practice loading csv data, numPy arrays, text data, and images using tf.Data.Dataset. You will also get hands-on practice creating numeric, categorical, bucketized, and hashed feature columns. We will introduce you to the Keras Sequential API and the Keras Functional API to show you how to create deep learning models. We’ll talk about activation functions, loss, and optimization. Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform.
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Introduction to course 3m 26s
Introduction to TensorFlow 26m 13s
Design and Build a TensorFlow Input Data Pipeline 26m 3s
Training neural networks with Tensorflow 2 and the Keras Sequential API 26m 4s
Training neural networks with Tensorflow 2 and Keras Functional API 29m 34s
Summary 8m 13s
Course Resource 10s
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Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: MPEG4 Video (H264) 1280x720 30fps 293kbps [V: English [eng] (h264 high L4.0, yuv420p, 1280x720, 293 kb/s)]
Аудио: AAC 44100Hz stereo 95kbps [A: SoundHandler [eng] (aac lc, 44100 Hz, stereo, 95 kb/s)]
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Доп. информация: Level Beginner