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CUNY Queens College Machine Learning Google Crach Course Practice

CUNY Queens College Machine Learning Google Crach Course Practice

Question Description

I’m working on a python test / quiz prep and need an explanation to help me study.

Our final is based on the Google Machine Learning Crash Course which we covered in our very last online lecture. Here is the link to that again:

In order to complete the final exam, you need to read the additional material under the section Introduction to Neural Networks, Training Neural Networks and Multiclass Neural Nets, as highlighted in the first attached picture – “additional final reading material”.

You need to submit two different types of solved exercises for the homework, and both these types can be found dispersed throughout the reading material. NOTE that you need to complete all the exercises, of both types, found in the reading material from our last lecture, and the additional reading sections I have assigned here for the quiz. So basically every exercise from the beginning of the machine learning crash course, up to and including Multiclass Neural Nets.

So what are the two types of exercises found throughout the reading material, that you need to complete, take screenshots of (as usual) and submit as solutions to the final?

— FIRST are the quizzes dispersed throughout the reading material, and look like as I show in the attached picture “check your understanding”. You need to complete all the quizzes marked as “Self Check” or “Check your understanding”.

You need to take screenshot of each quizz where you found the correct answer (has to be green, unlike the red wrong answer I show in my attached screenshot). Your answers need to include all quizzes from the set of reading materials, up to and including Multiclass Neural Nets. Of course you can simply click random answers until it turns green, but this way you will not learn. You need to through each correct answer, and understand why this answer is correct.

If you try to simply click until you find the correct answer, and you do not understand it, you will not learning the final and one of the most important lessons from this course (machine learning is an important scientific topic of the present and will be at the center stage of scientific research and world affairs in the foreseeable future).

— SECOND you will see that they are sections throughout the material noted as “Tensorflow Playground” ( ), and as I also show in the third attached screenshot and.

These need to be completed following the instructions on each section noted as “Tensorflow Playground Exercise”, captured as screenshots once completed, and submitted along with the screenshots of the check your understanding quizzes which I request in the first item.

The key is after you create a Machine Learning model with Tensorflow Playground, you need to think through what the image that you are seeing means. When I say image, I mean the data separation / classification picture at the right side of the Tensorflow Playground (this will make more sense when you do your first playground practice exercise).

Please do all of those in sequence as it is instructed. Read the attached file name to follw the instructions.

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