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IBM: Applied Deep Learning Capstone Project.

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4.7 stars

Duration

5 weeks

Pacing

Self-paced

Pricing

Free

IBM: Applied Deep Learning Capstone Project.
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In this capstone project, you’ll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.

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About this course

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
In this capstone project, you’lluse a Deep Learning library ofyour choice to develop, train, and test a Deep Learning model.Loadand preprocess data for a real problem, build the model and then validate it.
Finally, you will present a project report to demonstrate the validity of yourmodel andyour proficiency in the field of deep learning.

At a Glance:
Institution: IBM
Subject: Data Analysis & Statistics
Level: Advanced
Prerequisites:
Completed all courses in the Deep Learning Professional Certification Program
Language: English
Video Transcript: English
Associated programs:
Professional Certificate in Deep Learning
Associated skills:PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Data Preprocessing

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IBM: Applied Deep Learning Capstone Project.
IBM: Applied Deep Learning Capstone Project.
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