Deep Learning

Completed by Scott Corren Lowe

February 12, 2018

Course Certificates Completed

Neural Networks and Deep Learning

Sequence Models

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Structuring Machine Learning Projects

Convolutional Neural Networks

View certificate for Scott Corren Lowe, Deep Learning, offered through Coursera. The Deep Learning Specialization is designed to prepare learners to participate in the development of cutting-edge AI technology, and to understand the capability, the challenges, and the consequences of the rise of deep learning. Through five interconnected courses, learners develop a profound knowledge of the hottest AI algorithms, mastering deep learning from its foundations (neural networks) to its industry applications (Computer Vision, Natural Language Processing, Speech Recognition, etc.).

Course Certificates

Earned after completing each course in the Specialization

Neural Networks and Deep Learning

DeepLearning.AI

Taught by: Andrew Ng, Kian Katanforoosh & Teaching Assistant - Younes Bensouda Mourri

Completed by: Scott Corren Lowe by January 17, 2018

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Sequence Models

DeepLearning.AI

Taught by: Andrew Ng, Kian Katanforoosh & Teaching Assistant - Younes Bensouda Mourri

Completed by: Scott Corren Lowe by February 12, 2018

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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

DeepLearning.AI

Taught by: Andrew Ng, Kian Katanforoosh & Teaching Assistant - Younes Bensouda Mourri

Completed by: Scott Corren Lowe by January 21, 2018

3 weeks, 3-6 hours per week

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Structuring Machine Learning Projects

DeepLearning.AI

Taught by: Andrew Ng, Teaching Assistant - Younes Bensouda Mourri & Kian Katanforoosh

Completed by: Scott Corren Lowe by January 19, 2018

2 weeks of study, 3-4 hours/week

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Convolutional Neural Networks

DeepLearning.AI

Taught by: Andrew Ng, Kian Katanforoosh & Teaching Assistant - Younes Bensouda Mourri

Completed by: Scott Corren Lowe by January 31, 2018

4 weeks of study, 4-5 hours/week

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