Practical Deep Learning: A PythonBased Introduction,Used

Practical Deep Learning: A PythonBased Introduction,Used

In Stock
SKU: SONG1718500742
Brand: No Starch Press
Condition: Used
Regular price$17.25
Quantity
Add to wishlist
Add to compare
Sold by Ergodebooks, an authorized reseller.

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you?ve been curious about artificial intelligence and machine learning but didn?t know where to start, this is the book you?ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.All you need is basic familiarity with computer programming and high school maththe book will cover the rest. After an introduction to Python, you?ll move through key topics like how to build a good training dataset, work with the scikitlearn and Keras libraries, and evaluate your models? performance.You?ll also learn:How to use classic machine learning models like kNearest Neighbors, Random Forests, and Support Vector Machines How neural networks work and how they?re trained How to use convolutional neural networks How to develop a successful deep learning model from scratch You?ll conduct experiments along the way, building to a final case study that incorporates everything you?ve learned.The perfect introduction to this dynamic, everexpanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed