Coursera – TensorFlow 2 for Deep Learning Specialization 2021-2

Description

TensorFlow 2 for Deep Learning Specialization is the name of a deep learning training package. This course is suitable for machine learning researchers and professionals looking to develop practical skills in the famous TensorFlow deep learning framework. The first course of this specialty teaches you the basics needed to build, train, evaluate, and predict by deep learning models. The second course in this series will deepen your knowledge and skills in using TensorFlow to develop fully personalized deep learning models. Finally, the last course for probabilities in deep learning is very important, in which you will learn how to build probabilistic models with TensorFlow and use the TensorFlow probability libraries that are used for convenience in probabilistic deep learning models.

Skills you will gain in the TensorFlow 2 for Deep Learning Specialization suite

Tensorflow

Keras

Possible TensorFlow

Possible neural networks

Deep learning

Generative models

Contingency Programming Language (PRPL)

Course information

Publisher: Coursera Instructor: Dr. Kevin Webster English language Level of education: Intermediate Number of courses: 3 Duration: hours and minutes

Courses in TensorFlow 2 for Deep Learning Specialization

COURSE 1 Getting started with TensorFlow 2

COURSE 2 Customising your models with TensorFlow 2

COURSE 3 Probabilistic Deep Learning with TensorFlow 2

Prerequisite

Prerequisite knowledge for this Specialization is python 3, general machine learning and deep learning concepts, and a solid foundation in probability and statistics (especially for course 3).

Installation

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Subtitle: English and other languages

Quality: 720

This collection includes 3 different courses.