Understanding Neural Networks Handwriting

What is the main goal of the project described in the prompt?

• To write a novel using machine learning

• To program a neural network to recognize handwritten letters

• To improve John-Green-Bot's handwriting

• To create a new dataset of handwritten letters

What tool is used to write and run the code in the project?

• Microsoft Word

• Google Sheets

• Google Colaboratory

• Jupyter Notebook

What is the name of the dataset used for training the neural network?

• MNIST

• CIFAR-10

• EMNIST

• ImageNet

How many images are in the training set according to the prompt?

• 10,000

• 60,000

• 145,600

• 28,000

What is the size of each image in the EMNIST dataset?

• 32x32 pixels

• 64x64 pixels

• 28x28 pixels

• 16x16 pixels

What is the purpose of dividing each pixel value by 255 in the preprocessing step?

• To convert images to color

• To normalize the pixel values between 0 and 1

• To increase the resolution of images

• To make images black and white

What type of neural network is used in the project?

• Convolutional Neural Network (CNN)

• Recurrent Neural Network (RNN)

• Multi-Layer Perceptron (MLP)

• Generative Adversarial Network (GAN)

How many output neurons are there in the neural network?

• 10

• 26

• 50

• 784

What library is used to create the neural network in the project?

• TensorFlow

• PyTorch

• SKLearn

• Keras

What is the purpose of the hidden layer in the neural network?

• To store the final output

• To randomly pick aspects of each image to focus on

• To display the images

• To import the dataset