AI — Neural Networks

What is a Neural Network?

A computing system inspired by biological neural networks.

Basic Structure

Input Layer → Hidden Layers → Output Layer

Simple Neural Network

import tensorflow as tf

model = tf.keras.Sequential([
    tf.keras.layers.Dense(64, activation='relu', input_shape=(10,)),
    tf.keras.layers.Dense(32, activation='relu'),
    tf.keras.layers.Dense(1, activation='sigmoid')
])

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

Activation Functions

Function	Description
ReLU	rectified linear
Sigmoid	0 to 1
Tanh	-1 to 1
Softmax	Probability distribution

Training

model.fit(X_train, y_train, epochs=10, batch_size=32)

Mini Practice

1. Build neural network
2. Choose activation functions
3. Train model
4. Make predictions

Up Next

Continue with Computer Vision — computer vision.