In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically.
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
This course is part of Deep Learning Specialization



Instructors: Andrew Ng +2 more
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Skills you'll gain
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Model Training
- Category: Debugging
- Category: Verification And Validation
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Performance Tuning
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Model Optimization
Tools you'll learn
- Category: Tensorflow
Details to know

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Reviewed on Oct 19, 2017
loved it. the structure of the course, the assignments, tutorials were great!particularly, the tensorflow tutorial was a hit!!Cheers to Andrew who made it look much easier that I thought it would be!
Reviewed on Apr 26, 2020
Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.
Reviewed on Mar 28, 2020
I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.