intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With Python Deep Learning Second Edition, you’ll explore deep learning, and learn how to put machine learning to use in your projects...
This repository contains Jupyter notebooks implementing the code samples found in the bookDeep Learning with Python, 2nd Edition (Manning Publications). For readability, these notebooks only contain runnable code blocks and section titles, and omit everything else in the book: text paragraphs, figures...
just like that, you’ve graduated to doing machine learning. And so, in the late 1980s, we started seeing machine learning approaches to natural language processing. The earliest ones were based on decision trees—the intent was literally to automate the development of the kind of if/then/els...
Neural Networks and Deep Learning is the first course of the Deep Learning Specialization. The specialization will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. The second course in ...
As you progress, you’ll use PyTorch, a popular deep learning framework based on Python to build production-ready prediction solutions. By the end of this book, you'll have learned how to solve different time series tasks with deep learning using the PyTorch ecosystem. Who is this book for...
That’s because I’m targeting SQLite. SQLite will insert a key value if it’s provided, overriding the auto-increment. But what about with a SQL Server database, which definitely won’t do that on the fly? I switched the context to use the SQL Server provider to investigate and saw ...
Deep Reinforcement Learning Hands-On, Second Edition is an updated and expanded version of the bestselling guide to the very latest reinforcement learning (RL) tools and techniques. It provides you with an introduction to the fundamentals of RL, along with the hands-on ability to code intelligent...
Second, I’m not supplying the Publisher string. Next, I’ll add a migration, my first for this model. I happen to be using Visual Studio Code for this project, which is a .NET Core app, so I’m using the CLI migrations command, “dotnet ef migrations add init.” The resulting ...
The many success stories of reinforcement learning (RL) and deep learning (DL) techniques have raised interest in their use for detecting patterns and generating constant profits from financial markets. In this paper, we combine deep reinforcement learning (DRL) with a transformer network to develop...
1.5 Review of Prerequisite Deep Learning Theorysummarise the key concepts introduced in the Deep Learning with TensorFlow LiveLessons, which serve as the foundation for the material introduced in these NLP-focused LiveLessons1.6 A Sneak Peaktake a tantalising look ahead at the capabilities developed ...