Course one, fourth week (deep neural Networks)--2.programming assignments:deep Neural network-application

Deep Neural network-application

congratulations! Welcome to the fourth programming exercise of the deep learning specialization. You'll now use everything and learned to build a deep neural network that classifies cat vs. Non-cat images.

　　　　　　　　　　　　　　

In the second exercise, you used logistic regression to build cat vs. Non-cat images and got a 68% accuracy. Your algorithm would now give you a 80% accuracy! By completing the assignment, you'll:

-Learn how to use all the helper functions your built in the previous assignment to build a model of any structure you wan T.

-Experiment with different model architectures and see how to each one behaves.

-Recognize that it's always easier to build your helper functions before attempting to build a neural network from Scrat Ch.

This assignment prepares your well for the next course which dives deep to the techniques and strategies for parameters T Uning and initializations. Take your time-to-assignment and make sure you get the expected outputs when working through the different E Xercises. In the some code blocks, you'll find a "#GRADED function:functionname" comment. Please don't modify it. After you do, submit your work and check your results. You need to score 70% to pass. Good luck:)!

"Chinese Translation"

deep Neural Networks-applicationsCongratulations! Welcome to the fourth time programming exercise for deep learning majors. Now you'll use everything you've learned to create a deep neural network that classifies cat and non-cat images. in the second exercise, you used logistic regression to build an image of cat and non-cat and get 68% accuracy. Your algorithm will now give you a 80% accuracy! By completing this task, you will:-Learn how to use all the helper functions generated in the previous assignment to build a model of any structure you need. -Try using different model architectures and see the effects of each schema. -recognize that it is always easier to build a helper function before trying to build a neural network from scratch. This task prepares you for the next lesson. The next lesson will take a closer look at the techniques and strategies for parameter tuning and initialization. Use your time to complete the task, pass the different exercises, and make sure you get the expected results. In some code blocks, you will find a comment for "#GRADED function:functionname". Please do not modify it. When you are done, submit your work and check your results. You need to score 70% to pass. Good luck to you:)!----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Course one, fourth week (deep neural Networks)--2.programming assignments:deep Neural network-application