Deep Learning with Tensorflow

Learners: 206

Instructor: /

Duration: 4.00

This IBM course provides learners with an introduction to deep learning with Tensorflow. Upon successful completion, learners will be awarded a skill badge, a digital credential that verifies their knowledge and skills. Enroll now to gain a comprehensive understanding of deep learning with Tensorflow. ▼▲

Course Feature Course Overview Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Free

Provider:

Edx

Certificate:

Paid Certification

Language:

English

Start Date:

Self paced

Course Overview

❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge necessary to understand the fundamentals of deep learning and TensorFlow, create and train neural networks, and apply these skills to real-world problems. Learners will gain an understanding of different types of deep architectures, such as convolutional networks, recurrent networks, and autoencoders, and how to use them to solve complex problems. Additionally, learners will be able to earn a skill badge, a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired in this course.

How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with the fundamentals of deep learning and TensorFlow. Learners will gain an understanding of the different types of deep architectures and how to use them to solve complex problems. Additionally, they will be able to earn a skill badge, a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired in this course. This credential can be used to demonstrate their expertise in deep learning and TensorFlow to potential employers.

Is this course suitable for preparing further education?
This course is suitable for preparing further education in deep learning and TensorFlow. Learners will gain an understanding of the fundamentals of deep learning and TensorFlow, as well as the different types of deep architectures and how to use them to solve complex problems. Additionally, they will be able to earn a skill badge, which will provide a verifiable and digital credential that profiles the knowledge and skills they have acquired in this course.