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Build Scratch 3.0 extensions for adding [login to view URL] function to it

Build a Scratch 3.0 extension for adding [login to view URL] function for kids learning about the [login to view URL] (TFJS).

A. Build a scratch 3 extension for TFJS

- The general direction:

- Building a scratch 3.0 extension for [login to view URL] ([login to view URL]) like in kittenblock ([login to view URL])

- So that it is a number of blocky functions to make use of the tensorflow js function

- Load CSV [in csv] to []

- Load CSV [in csv] to [] col [0,1,2,3]

- Load Image [] xs [] label []

- Shuffle xs [] ys []

- Save Model [] name [mnist]

- Load Model [in json] Weight [in file extension bin]

- Init model input shape []

- Model [] add dense unit [] act []

- Model [] add Conv2D Kernel [] filters [] act []

- Model [] add MaxPool 2D she []

- Model [] add Flatten Layer

- Model [] compile opt [] loss [] learn rate []

- Model [] Fit [] epochs

- When Train finish

- Model [] Predict []

- Model [] Predict [] by Label []

- Set xs []

- Set xs [] shape []

- Image xs [] channel [] size [] shape []

- Set output[]

- Set output Label []

- Set Output Label [] size []

- Pen Graph

- Stage Graph

- Video Graph

- Show Debug Panel

- Debug Image []

- Debug off

When the user press “`” button, a debug mode for machine learning model is coming out.

- The extension can at least build following:

- Linear Regression

- Image Classification

- MNIST Hand-written recognition

- Save & load MNIST model

- Mobilenet for object identification

- Mobilenet w/ robotic

B. teach me and make a guide for hosting the scratch 3.0 in cloud AWS and Digital Ocean with load balance:

- Grab the necessary repositories for scratch 3.0 from [login to view URL] (At least you need the scratch-gui)

- The general direction:

- 1) Running it in local

- Refer to the [login to view URL] from scratch-gui

- npm start

- localhost:8601

- 2) Compile and build the GUI items

- Using web pack to compile the GUI items.

- npm run build

- Get the whole project from “build” folder.

- 3) Host it into a cloud

==> That’s I need you to do.

C. Build a login in system like in [login to view URL]

- Profile page as in the [login to view URL]

- The user can store, load and delete the project they have done under his/her profile

- Account setting for Password, account name, email

Квалификация: CSS, Javascript, React.js, Tensorflow

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О работодателе:
( 1 отзыв ) Hong Kong SAR, Hong Kong

ID проекта: #19308686

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