Intro to Deep Learning

DEEP LEARNING uses multi-layer neural networks. It shines on images, audio and text where features are best learned automatically.

Common frameworks: PyTorch and TensorFlow/Keras.

Example 1 (python)

import torch
import torch.nn as nn
model = nn.Sequential(nn.Linear(10, 32), nn.ReLU(), nn.Linear(32, 1))

A tiny PyTorch network.

Example 2 (python)

# CNNs → images, RNNs/Transformers → sequences

Architecture matches data type.

Key points

💡 Note: For tabular data, gradient boosting (XGBoost / LightGBM) still usually beats deep learning.