Este curso forma parte de Certificado profesional de IBM AI Engineering

AI Capstone Project with Deep Learning

ofrecido por

Certificado profesional de IBM AI Engineering

IBM

Acerca de este Curso

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In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge.  They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners  will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning.
Learning Outcomes:
•	determine what kind of deep learning method to use in which situation
•	know how to build a deep learning model to solve a real problem 
•	master the process of creating  a deep learning pipeline 
•	apply knowledge of deep learning to improve models using real data
•	demonstrate ability to present and communicate outcomes of deep learning projects

Curso 6 de 6 en

IBM AI Engineering

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel avanzado

Inglés (English)

Subtítulos: Inglés (English)

Curso 6 de 6 en

IBM AI Engineering

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel avanzado

Inglés (English)

Subtítulos: Inglés (English)

Instructores

Alex Aklson

Ph.D., Data Scientist

IBM Developer Skills Network

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

Romeo Kienzler

Chief Data Scientist, Course Lead

IBM Watson IoT

Acerca de IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

Acerca de Certificado profesional de IBM AI Engineering

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
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