Sobes.tech
Junior — Middle

What type of neural network was used in your project?

sobes.tech AI

Answer from AI

My project used a Convolutional Neural Network (CNN). This type of network is well-suited for image processing and pattern recognition due to its ability to extract local features using convolutions.

Example of using CNN in Python with the Keras library:

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense

model = Sequential([
    Conv2D(32, (3, 3), activation='relu', input_shape=(64, 64, 3)),
    MaxPooling2D(pool_size=(2, 2)),
    Flatten(),
    Dense(128, activation='relu'),
    Dense(10, activation='softmax')
])

model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])

This approach allows for effective training of models for image classification tasks.