Deep Learning

Completed by RAHUL KAVI

March 4, 2018

Course Certificates Completed

Sequence Models

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Convolutional Neural Networks

Neural Networks and Deep Learning

Structuring Machine Learning Projects

View certificate for RAHUL KAVI, 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

Sequence Models

DeepLearning.AI

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

Completed by: RAHUL KAVI by March 4, 2018

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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

DeepLearning.AI

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

Completed by: RAHUL KAVI by December 26, 2017

3 weeks, 3-6 hours per week

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Convolutional Neural Networks

DeepLearning.AI

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

Completed by: RAHUL KAVI by January 1, 2018

4 weeks of study, 4-5 hours/week

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Neural Networks and Deep Learning

DeepLearning.AI

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

Completed by: RAHUL KAVI by December 23, 2017

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Structuring Machine Learning Projects

DeepLearning.AI

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

Completed by: RAHUL KAVI by December 26, 2017

2 weeks of study, 3-4 hours/week

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