AI — Deep Learning

What is Deep Learning?

Deep Learning uses neural networks with multiple layers to learn representations.

Neural Network

import tensorflow as tf

model = tf.keras.Sequential([
    tf.keras.layers.Dense(128, activation='relu'),
    tf.keras.layers.Dense(64, activation='relu'),
    tf.keras.layers.Dense(10, activation='softmax')
])

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

Deep Learning Types

Type	Use Case
CNN	Image processing
RNN/LSTM	Sequential data
Transformer	NLP
GAN	Generation

Popular Frameworks

Framework	Description
TensorFlow	Google's framework
PyTorch	Facebook's framework
Keras	High-level API

Mini Practice

1. Build simple neural network
2. Train on dataset
3. Evaluate performance
4. Try different architectures

Up Next

Continue with Neural Networks — neural networks.