Deep Learning Crash Course
How can you benefit from deep learning? Accurately analyze customer buying habits so you can make great recommendations Verify digital identity to protect customers from theft and fraud Create intelligent voice assistants for speech-commanded shopping and customer service Expand your customer base w...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Online |
| Sprache: | eng |
| Veröffentlicht: |
Erscheinungsort nicht ermittelbar
Manning Publications
2019
Sebastopol, CA O'Reilly Media Inc. |
| Ausgabe: | 1st edition |
| Schlagworte: | |
| Online Zugang: | https://learning.oreilly.com/library/view/-/10000MNLV201820 https://learning.oreilly.com/library/view/-/10000MNLV201820/?ar |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Tag hinzufügen | Zusammenfassung: | How can you benefit from deep learning? Accurately analyze customer buying habits so you can make great recommendations Verify digital identity to protect customers from theft and fraud Create intelligent voice assistants for speech-commanded shopping and customer service Expand your customer base with automatic translation In this video course, machine learning expert Oliver Zeigermann teaches you the basics of deep learning. This powerful data analysis technique mimics the way humans process information to identify patterns in your data and learn from them. With Oliver Zeigermann’s crystal-clear video instruction, you’ll get started in deep learning using open-source Python-friendly tools like scikit-learn and Keras, and TensorFlow 2.0 (soon to be officially released with exciting new updates!). If you’re ready to take the fast path to deep learning, Deep Learning Crash Course is for you! about the subject Deep learning is an emerging artificial intelligence (AI) technique that uses sophisticated analysis structures called neural networks to make accurate associations within a set of data. In particular, deep learning systems can learn by processing raw data without human-coded rules or domain knowledge. These systems are particularly adept at language and image classification, where a pattern may represent an abstract idea like feeling, intent, or even the general concept of what a cat or a dog looks like. These systems are also excellent for making predictions, such as how customers might behave or long-range weather forecasts. There’s also awesome potential for medical image analysis, highly-customized therapy for patients with developmental challenges, turning open surgeries into minimally-invasive ones, and better disaster recovery! about the video With an emphasis on simplicity, Deep Learning Crash Course teaches you to build machine learning models, the part of a system that makes classifications and predictions. You’ll also learn how to apply algorithms that train the model to improve based on the data it encounters. Your video guide Oliver Zeigermann launches your learning with a spotlight on how deep learning is different from other programming and data analysis techniques. You’ll work through a complete project and learn to use the most popular Python-based deep learning tools, including scikit-learn, Keras, and TensorFlow 2.0. All the tools are free and open source. The incredible machine learning library Keras has a minimalis... |
|---|---|
| Beschreibung: | 1 Online-Ressource (1 video file, approximately 1 hr., 55 min.) |
| ISBN: | 10000MNLV201820 (Sekundärausgabe) |