Shipping:
US$ 3.95
Within U.S.A.
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
paperback. Condition: As New. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages. Seller Inventory # NS-PB-LN-1718500742
Quantity: 13 available
Seller: Bulk Book Warehouse, Rotterdam, NY, U.S.A.
Condition: Good. Shows minimal wear such as frayed or folded edges, minor rips and tears, and/or slightly worn binding. May have stickers and/or contain inscription on title page. No observed missing pages. Seller Inventory # 581QRT000VVH_ns
Quantity: 1 available
Seller: HPB-Emerald, Dallas, TX, U.S.A.
paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_432654522
Quantity: 1 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 40992391-n
Quantity: 6 available
Seller: INDOO, Avenel, NJ, U.S.A.
Condition: New. Seller Inventory # 9781718500747
Quantity: Over 20 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 40992391
Quantity: 6 available
Seller: INDOO, Avenel, NJ, U.S.A.
Condition: As New. Unread copy in mint condition. Seller Inventory # RH9781718500747
Quantity: Over 20 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # DB-9781718500747
Quantity: 3 available
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000. Seller Inventory # P1-9781718500747
Quantity: 1 available
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condition: new. Paperback. Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.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 math-the 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 scikit-learn and Keras libraries, and evaluate your models' performance.You'll also learn-How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector MachinesHow neural networks work and how they're trainedHow to use convolutional neural networksHow to develop a successful deep learning model from scratchYou'll conduct experiments along the way, building to a final case study that incorporates everything you've learned.The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects. A book for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction using Python. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781718500747
Quantity: 1 available