Title
Introduction to Deep Learning (Black/White version): with complete Python and TensorFlow examples,Used
Delivery time: 8-12 business days (International)
About the book: In Computer Sciences there is currently a gold rush mood due to a new field called "Deep Learning". But what is Deep Learning? This book is an introduction to Neural Networks and the most important Deep Learning model the Convolutional Neural Network model including a description of tricks that can be used to train such models more quickly. We start with the biological role model: the Neuron. About 86.000.000.000 of these simple processing elements are in your brain! And they all work in parallel! We discuss how to model the operation of a biological neuron with technical neuron models and then consider the first simple singlelayer network of technical neurons. We then introduce the MultiLayer Perceptron (MLP) and the Convolutional Neural Network (CNN) model which uses the MLP at its end. At the end of the book we discuss promising new directions for the field of Deep Learning. A famous physicist once said: "What I cannot create, I do not understand". For this, the book is full of examples of how to program all models discussed in Python and TensorFlow Today, the most important Deep Learning library. About the author: Prof. Dr.Ing. Juergen Brauer is a professor for Sensor Data Processing and Programming at the University of Applied Sciences Kempten in Germany where he holds a "Deep Learning" and other machine learning related lectures for Computer Science and Advanced Driver Assistance Systems students. His personal experience tells him: "What I cannot program, I do not understand". Note: This is a black/white version of the original book version which uses colors in some figures. It allows for lower printing costs and therefore a lower final price. However, some details might be recognized better in the color version.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.