Artificial Intelligence
AI & Machine Learning
From what a model actually is, to training and deploying your own.
AI & Machine Learning — Advance
Deep learning, neural networks, computer vision and language models built with PyTorch.
70 study hours
480 pages
11 modules
PDF ebook
What is inside
01
Neural networks from first principles
02
PyTorch: tensors, autograd and training loops
03
Convolutional networks for images
04
Recurrent networks and sequence modelling
05
Transformers and the attention mechanism
06
Computer vision: detection, segmentation, OCR
07
Natural language processing and embeddings
08
Transfer learning and fine-tuning pretrained models
09
Hyperparameter tuning and experiment tracking
10
Handling imbalanced, messy and small datasets
11
Serving a model behind an API
By the end you can
- Build and train deep learning models for vision and text
- Fine-tune a pretrained model on your own data
- Deploy a model as a working service