Hello! I'm GPTI, your AI assistant. How can I help you today? Here are some things I can do:

• Answer questions on various topics
• Help with programming problems
• Explain complex concepts
• Generate creative content

What would you like to know?

Certainly! Neural networks are inspired by the human brain and work by processing information through interconnected layers of artificial neurons. Here's a simple analogy:

Imagine you're teaching a child to recognize animals:

1. Input Layer: Show them pictures (pixels of an image)
2. Hidden Layers: They notice patterns (ears, legs, colors)
3. Output Layer: They combine these to identify the animal

The network "learns" by adjusting connections (weights) between neurons when it makes mistakes, gradually improving accuracy.

# Simple neural network in Python with Keras
from keras.models import Sequential
from keras.layers import Dense

model = Sequential()
model.add(Dense(32, activation='relu', input_dim=100))  # Input layer
model.add(Dense(16, activation='relu'))  # Hidden layer
model.add(Dense(1, activation='sigmoid'))  # Output layer