How to find no of epoc,No of batches,batch size and batches per epoc

Question 1
You are training a neural network model on a dataset of 60,000 samples. The model is trained using a default batch size of 32 for a total of 10 epochs. Based on this information:

Solution

Finding the Number of Batches per Epoch:
Total number of samples = 60,000
Batch size = 32
The number of batches per epoch is calculated by dividing the total number of samples by the batch size

Thus, the number of batches per epoch is 1,875.

Total Number of Iterations for Training:
The total number of iterations (or steps) for the entire training process is calculated by multiplying the number of batches per epoch by the number of epochs:

Number of epochs = 10
Number of batches per epoch = 1,875

Thus, the total number of iterations required for training is 18,750.

Final Answer:
1,875 batches are required per epoch.
18,750 iterations are required to complete the training for 10 epochs.

Note

Question 2
You are training a neural network model as shown in the given code, where the dataset consists of 60,000 training samples. The training is performed using 10 epochs, and the output shows that for each epoch, there are 1,875 batches processed.

1.What is the batch size used for training?
2.Calculate the total number of training iterations (or steps) needed to complete all 10 epochs.

Solution:

Finding the Batch Size: Total number of samples = 60,000 Number of batches per epoch = 1,875 The batch size is calculated by dividing the total number of samples by the number of batches:

Thus, the batch size used for training is 32.

Calculating Total Number of Iterations: The total number of iterations (or steps) for training is calculated by multiplying the number of batches per epoch by the number of epochs:

Number of epochs = 10
Number of batches per epoch = 1,875

Thus, the total number of iterations required to complete the training is 18,750.

Final Answer:
The batch size used for training is 32.
The total number of iterations required to complete 10 epochs is 18,750.

Question3
A deep learning model is being trained on a dataset containing 60,000 samples. The model is being trained in mini-batches of size 100. The total number of epochs for the training is set to 50.

The total number of batches required to complete one epoch.
The total number of iterations (or steps) required to complete the training for the given number of epochs.
Solution:

Number of Batches per Epoch: Total number of samples in the dataset = 60,000 Batch size = 100 The number of batches per epoch is calculated by dividing the total number of samples by the batch size:

Thus, there are 600 batches in one epoch.

Total Number of Iterations for Training: The total number of iterations (or steps) for the entire training process is calculated by multiplying the number of batches per epoch by the number of epochs:

Number of epochs = 50
Batches per epoch = 600

Thus, the total number of iterations required for training is 30,000.

Final Answer:
600 batches are required per epoch.
30,000 iterations are required to complete the training for 50 epochs.

Question4
You are training a neural network model using Keras as shown in the code snippet. The model is trained on the MNIST dataset, which contains 60,000 training images, with each image having a size of 28x28 pixels. The model is trained for 10 epochs using the Adam optimizer and a sparse categorical cross-entropy loss. Assume that the batch size is 128
1.Calculate the total number of batches per epoch.
2.Determine the total number of iterations required to complete all 10 epochs.

Solution:

Number of Batches per Epoch: Total number of samples in the dataset = 60,000 Batch size = 128 The number of batches per epoch is calculated as:

Since we can't have a fraction of a batch, we round up to the nearest whole number:

Batches per epoch=469
Batches per epoch=469
Thus, there are 469 batches in each epoch.

Total Number of Iterations: The total number of iterations (or steps) for the entire training process is calculated by multiplying the number of batches per epoch by the number of epochs:

Number of epochs = 10
Batches per epoch = 469