Deep Learning Introduction takes you inside the technology powering modern AI — from image recognition to language models. This eBook explains how deep neural networks work conceptually and practically, using TensorFlow and PyTorch to build and train your first models.
Mathematically approachable yet technically accurate, this guide gives you the vocabulary and hands-on experience to engage confidently with deep learning.
What you’ll learn
- Neural network architecture: layers, neurons, activations
- Backpropagation and gradient descent explained
- Convolutional neural networks (CNNs) for image data
- Recurrent networks and sequence modeling basics
- Training your first model in TensorFlow and PyTorch
Instant PDF download. Code examples and trained model walkthroughs.
