Book Image

Artificial Intelligence with Python Cookbook

By : Ben Auffarth
Book Image

Artificial Intelligence with Python Cookbook

By: Ben Auffarth

Overview of this book

Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research. Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems. By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production.
Table of Contents (13 chapters)

Translating a text from English to German

In this recipe, we'll be implementing a transformer network from scratch, and we'll be training it for translation tasks from English to German. In the How it works... section, we'll go through a lot of the details.

Getting ready

We recommend using a machine with a GPU. The Colab environment is highly recommended, however, please make sure you are using a runtime with GPU enabled. If you want to check that you have access to a GPU, you can call the NVIDIA System Management Interface:


You should see something like this:

Tesla T4: 0MiB / 15079MiB

This tells you you are using an NVIDIA Tesla T4 with 0 MB of about 1.5 GB used (1 MiB corresponds to approximately 1.049 MB).

We'll need a relatively new version of torchtext, a library with text datasets and utilities for pytorch:

!pip install torchtext==0.7.0

For the part in the There's more... section, you might need to install an additional dependency:

!pip install...