Informações sobre o curso

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100% on-line
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Curso 3 de 6 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 9 horas para completar
Inglês
Legendas: Inglês

Habilidades que você terá

Deep LearningArtificial Neural NetworkArtificial Intelligence (AI)Machine Learningkeras
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 3 de 6 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 9 horas para completar
Inglês
Legendas: Inglês

Instrutores

oferecido por

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IBM

Programa - O que você aprenderá com este curso

Semana
1

Semana 1

2 horas para concluir

Introduction to Neural Networks and Deep Learning

2 horas para concluir
4 vídeos (Total 17 mín.), 1 leitura, 2 testes
4 videos
Introduction to Deep Learning4min
Neurons and Neural Networks3min
Artificial Neural Networks5min
1 leituras
Syllabus10min
1 exercício prático
Introduction to Neural Networks and Deep Learning30min
Semana
2

Semana 2

1 hora para concluir

Artificial Neural Networks

1 hora para concluir
4 vídeos (Total 22 mín.)
4 videos
Backpropagation9min
Vanishing Gradient1min
Activation Functions5min
1 exercício prático
Artificial Neural Networks30min
Semana
3

Semana 3

3 horas para concluir

Keras and Deep Learning Libraries

3 horas para concluir
3 vídeos (Total 16 mín.)
3 videos
Regression Models with Keras6min
Classification Models with Keras5min
1 exercício prático
Keras and Deep Learning Libraries30min
Semana
4

Semana 4

2 horas para concluir

Deep Learning Models

2 horas para concluir
4 vídeos (Total 17 mín.)
4 videos
Convolutional Neural Networks8min
Recurrent Neural Networks2min
Autoencoders2min
1 exercício prático
Deep Learning Models30min

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Sobre Certificado Profissional 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....
IBM AI Engineering

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