Calculate the number of trainable parameter in keras/tensorflow sequential model

Given Below Is the logo of scrs vit in RGB channels then which of the following is of BGR channels

Given below is a simple neural network architecture and I have a 100000 rows of cleaned data.If I train the below model with this data then which of the following Is correct

After training a data of diabetes in Indian population these are the results of loss and accuracy after training the data

A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 3, 2 and 1 respectively. What will be the output?

Which search method takes less memory?

Which is the best way to go for Game playing problem?

select the correct answer

10. Which of the following is NOT a parameter of the confusion matrix?

Which of these is a predictive model ?

Which graph is used to represent semantic network?

Which of the following is an activation function

What does SVM stands for?

In training a neural network, you notice that the loss does not decrease in the few starting epochs.

The reasons for this could be:

1-The learning is rate is low

2-Regularization parameter is high

3-Stuck at local minima

What according to you are the probable reasons?

What is the sequence of the following tasks in a perceptron?

1)Initialize weights of perceptron randomly

2)Go to the next batch of dataset

3)If the prediction does not match the output, change the weights

4)For a sample input, compute an output

The number of neurons in the output layer should match the number of classes (Where the number of classes is greater than 2) in a supervised learning task. True or False?

What are the factors to select the depth of neural network?

1 - Type of neural network (eg. MLP, CNN etc)

2 - Input data

3 - Computation power, i.e. Hardware capabilities and software capabilities

4 - Learning Rate

5 - The output function to map

I have a data of sudoku with solution and feeded this data to neural network and after training the accuracy of the data is 90%?Do you think that the Neural Network has intrepreted the logic behind the game?

which of the following is false?

Guess the output of the above python code

Predict the output of the open-cv code for the following logo

#python code below

(thresh, img_bin) = cv2.threshold(img, 100, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)

img_bin = img_bin

cv2.imshow("Image_bin.jpg", img_bin)

cv2.waitKey(0)

guess the output of the above python code

Guess the output of the following python code:-

I have vit id card now my i aim is to extract that id card from the image /photo .If so what algorithm can i use to extract the card (Like in the above picture)