layer5 | Layer5, expect more from your infrastructure | Service Mesh library

I am training a Keras model with df of shape (921, 10170) and code below(training data X is divided into 2 segments because the different nature of the data):

I need to make a model that has 2 dropout layers and two LSTM layers. Unfortunately I have a problem with input shape that goes to my second LSTM layer. After searching for the problem I found out I need to change the input dimensions but I don't know how to do that. I found an option that requires using Lambda layer but I can't import it to my environmet (it's a coursera environment). Have you got any suggestions how to deal with my error?

I am trying to insttall https://github.com/wagerfield/parallax/, I already read the documentation, and I got a sample of how to use it in javascript, I am going to use it in React, so, with that sample and the documentation for react I think my code should works, but it doesnt!, I think maybe there are 2 motives for not work.

1- In my html inside body tag this tag appears:

Team:

I am writing a custom callback function to stop terminate my model when there is a NaN value in Keras model weights.

So. First of all, I am new to Neural Network (NN). As part of my PhD, I am trying to solve some problem through NN. For this, I have created a program that creates some data set made of a collection of input vectors (each with 63 elements) and its corresponding output vectors (each with 6 elements).

So, my program looks like this:

I am working on AWS Lambda and creating method by using node.js.

I need an object like this:

I trying to do transfer learning by pre training (Self supervised learning) a model on rotation (0, 90, 180, dn 270 degrees: 4 labels) on unlabelled data. Here is the model:

I have trained this network in Pytorch for 224x224 size images and 4 classes.

I want to apply K-Fold cross-validation to my neural network model, which looks like this: