Chevron Left
返回到 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization,

32,960 个评分
3,531 个审阅


This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: - Understand industry best-practices for building deep learning applications. - Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, - Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance - Be able to implement a neural network in TensorFlow. This is the second course of the Deep Learning Specialization....


创建者 XG

Oct 31, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

创建者 CV

Dec 24, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.


3,473 个审阅

创建者 daniel abib

May 20, 2019

Great course with a lot of hand-on exercises... Great TensorFlow module...

创建者 Julio Enrique Herrera Estrada

May 20, 2019

This course was very helpful to learn tips of how to improve neural networks, and it also included a good introduction to TensorFlow.

创建者 Abdelrahman Algendy

May 19, 2019

it is wonderful course i learned more in Deep learning and how to apply regularization

and how to optimize cost function also programming in Tensor flow

i thanks all teaching assistant for there efforts to learn us

and i recommend this course to DL beginners

创建者 Indranil Biswas

May 19, 2019

This course did not just only open my abilities to deep learning framework's mechanics but also made me realize the use of those hyperparameters.

创建者 Nazarii Nyzhnyk

May 19, 2019

thank you

创建者 deven patel

May 19, 2019

Excellent resource for strategies on tuning hyper-parameter. Also a good introduction on tensorflow

创建者 Jinxiang Ruan

May 19, 2019

I am so grateful that Andrew and his team provide such great course, after completed the course now I have more understanding about different optimizer and regularization methods of the NN. And practical exercise with tensorflow

创建者 Fangshi Liu

May 19, 2019

Good course, although some bugs in homework grading

创建者 John Schneider

May 19, 2019

Great course; nobody provides intuition like Professor Ng, and the homework is easy but also provide a good practice set of references we can always come back to.

创建者 Ng Min Min

May 19, 2019

This course is helpful because they taught the fundamentals and the intuition that goes behind tuning methodologies instead of going straight to the technical portion.