multi-input | Custom input element to select multiple items | Frontend Framework library

I am following Deep Learning with Python section 7.1.2 Multi-input models. Here on code of Listing 7.1, I am facing following errors:

I'm trying to deploy an infrastructure stack where I want to use artifacts of 5 additional repo's as input. The reason I have 5 additional repositories is due to the fact that I try to separate business logic from the main infra stack.

My CDK code of our CodePipeline looks like:

I want to implement my own custom datagenerator for at multi-input keras model i have built using the functional api from keras.

I have read alot about the sequence class and how i can extend it's functionality i various ways.

My dataset i heavily unbalanced containing 3 classes.

What i want to achieve is build a custom datagenerator which uses flowfromdataframe. This dataframe contains paths to images. By constraining the number of image paths from the overrepresented class directory i can successfully undersample and thereby balance the dataset.

Dataframe structure:

However the remaining images i leave out still contain rich information i want my model to learn.

Is it possible to use something like a a callback "onepochend" that calls a function in my imagedatagenerator which swaps out the old paths in dataframe and replace it with random selected new paths?

Callback keras docs: https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/Callback

Generator class docs: https://www.tensorflow.org/api_docs/python/tf/keras/utils/Sequence

Sketched my idea:

Or do tensorflow/keras has something that achieves this?

I'm try to modify Inception v3 pre trained in pytorch to have a multi-input. ( 4 output precisely).

I get this error: Expected 4-dimensional input for 4-dimensional weight [192, 768, 1, 1], but got 2-dimensional input of size [50, 1000] instead

My input shape is : torch.Size([50, 3, 299, 299])

This is the code for my model,

I am using the "reusableforms.com" PHP form script. The form is working well. But I got an error on multi-input checkbox values.

How can I get the multi-input checkbox values?

HTML Code:

I want to create a multi-input CNN using three imported networks. However i don't fully understand the error below. Shouldn't the keras functional api recognize the input layers in the imported networks ?

I'm trying to make an extremely simple example of an adder (adding together two scaler tensors) within a lambda layer in keras/tensorflow. Here is my minimal example:

I wish to be able to import my library with multiple entry points (like ABC/X, ABC/Y, ABC/Z). I've been able to do the same with the help of 'rollup-plugin-multi-input' plugin.

But now I also wish to compile it in both ECMA and CommonJS. I've not been able to find any relevant documentation for this, and most results I get are for imports from the library (like import {x} from "abc"). No CJS compilation is creating troubles for me in React testing.

How do you provide multiple entry points at the same time compile in ECMA and CommonJS?

I am trying to make a multi-input Keras model that takes two inputs. One input is an image, and the second input is 1D text. I am storing the paths to the images in a dataframe, and then appending the images to a list like this: