Name: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (7284 reviews)

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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9

stars

63,504 ratings

About the Course

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. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

Apr 18, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

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7276 - 7286 of 7,286 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Anders B

•

May 23, 2021

The course was updated half way through, we were automatically rolled on to the updated version and progress already made on the course was reset from under our feet. We had to retake previously completed and passed content, wasting much time. It also did not help that the website reported the course content we had to retake as complete in some areas of the site and not others.

By Rohan K

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Feb 26, 2020

i am doing course in feb and i have been assigned sessions in april. Cant view even assignments or programming assignments before April. Totaly rubbish