scg | 3D Computational Geometry in C11 | 3D Animation library

I try to run this Neural Network script (for a regression model) There are two classes defined above. One is Standardizer class and other is Neural Net class. The Standardizer class normalizes all the values and the NeuralNet class builds the neural network that learns the data through feed forward and back propagation.

This function takes the the number of inputs, hidden units, and outputs as the three parameters.

The set_hunit function is used to either update or initiate the weights.It takes the weight as the parameter.

The Pack function packs the multiple weights of each layer into one vector. The unpack function does vice versa.

Forward pass in neural network propagates as shown below:

𝑍𝑌=ℎ(𝑋𝑙⋅𝑉)=𝑍𝑙⋅𝑊

Activation function is used to make the network non linear. We may use tanh or RBG or etc.

In the backward pass the function takes the the z values, Target values and the error as input. Based on the delta value, the weights and the bias are updated accoringly. This method returns the weight vector packed together of that particualr layer. Below are the functions that are excecuted during backward pass.

𝑉𝑊←𝑉+𝛼ℎ1𝑁1𝐾𝑋𝑙⊤((𝑇−𝑌)𝑊⊤⊙(1−𝑍2))←𝑊+𝛼𝑜1𝑁1𝐾𝑍𝑙⊤(𝑇−𝑌)

The train function takes the feautures and the target as the input. The gradientf unpacks the weights,proceeds with the forward pass by calling forward function. Now error is calculated using results of forward pass. Now back propagation is proceeded by calling backward function with parameters as error, Z, T(Target), _lambda.

The optimtarget function tries to reduce the error by using the object function and updates the weights accordingly.

The use method is applied to the test data after training the model. Testing data is passed as parameter and it stadardizes the data. Then forward is applied on the data which returns the predictions

This shows module not found error, but I have installed grad module with pip installation

Recently i build a app using Firebase, But after i got Some users through advertisement, Someone just hacked Firebase database and Updated all user datas like . Username Profile pic path

They set it to a bad word and bad pic.

So then i Also Checked the Firebase rules and redefined them..

Like

Only Authenticated users can read/write.

But problem is.

The hacker is still updated the Value on firebase db.

and i want to know what i am missing.

Is it possible to update a Firebase db without the whole secure key and things.. using a browser may be?

User data of a single user ...

email : "https://m.me.developer.scg" lastseen : "1617987743" pic : "https://www.dropbox.com/s/03a50cx4adxqepk/(url cannot be posted publically it contains nude images)" privacy : "PU" state : "offline" status : "Lets watch some movies" type : "FREE USER" username : "FU*KED BY DreamPLAY"

Here the hacker updated the 3 fields. email : pic: username:

I implement rate limiting in Spring Cloud Gateway (SCG). I get client IP address with below code

I have given some data in an array and i am trying to match that with the input given in a text field and if it matches it should display a checkmark and if it does not match it should display a crossmark.

But it either displays checkmark on all the numbers i enter or crossmark. My js code is like this

**

I have an azure function which works well when I call it from postman . I am trying to invoke the same from logic app as when an HTTP request is received. However, I am unable to pass raw content in the APIM as it does not give me an option for the same. It let me add only the subscription key. My Azure APIM accepts file name, subscription key only.

Any help in this regard is much appreciated.

Postman : (I have added Headers - Content-Type, Accept: using )

Headers: Content-Type : Accept: Ocp-Apim-Subscription-Key

Body: { "name": "olaf" }

Azure Logic App: (Using Peek Code);

{ "inputs": { "method": "post", "headers": { "Accept": "application/json", "Content-Type": "text/csv" }, "pathTemplate": { "template": "/scg-liquidTransformer-functionApp/liquidtransformer/{liquidtransformfilename}", "parameters": { "liquidtransformfilename": "@{encodeURIComponent('xmlsample.liquid')}" } }, "api": { "id": "/subscriptions/XXXXXXXXXXXXXXXXXXXXX/resourceGroups/scg-mel-dev-arg-liquidtransformer/providers/Microsoft.ApiManagement/service/scg-liquidTransformer-functionApp-apimservice/apis/scg-liquidtransformer-functionapp" }, "subscriptionKey": "XXXXXXXXXXXXXXXXXXXXXXXX" } }

I need to send body {} as a parameter input in the azure functionenter image description here.

Thanks, Paul.

enter image description here

Apologies if this has been asked before!

I have a big data set that I need to normalise. The data is in one dataframe, and the value needed for normalisation is in a different one. I've created a small example here:

I am doing hands-on with creating microservices with Spring Cloud Gateway and Swagger. Unable to start my application. It is giving Failed to introspect annotated methods on class springfox.documentation.swagger2.configuration.Swagger2DocumentationConfiguration error which needs spring-boot-starter-web dependency. But on including this dependency, getting error Spring MVC found on classpath, which is incompatible with Spring Cloud Gateway at this time. Please remove spring-boot-starter-web dependency.

Can't we use Swagger with Spring Cloud Gateway?

1st Microservice:

Code

pom.xml:

I have a data frame like below

I am using Spring Cloud Kubernetes + Spring Cloud Gateway(SCG) and I have some trouble to deploy my app on GKE. SCG does not find k8s service, I still get this error: