Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python (English Edition)
Language: English
Published by Packt Publishing, 2017
- Softcover
- Used
Seller: medimops, Berlin, Germanymedimops
AbeBooks seller since May 10, 2010
Condition: Used - Very good
£ 35.76
Quantity: 1 available
Add to basketItem description from seller
Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Seller Inventory # M01787128423-V
- Title
- Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python (English Edition)
- Author
- Gulli, Antonio
- Publisher
- Packt Publishing
- Publication year
- 2017
- Condition
- very good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1787128423
- ISBN 13
- 9781787128422
Publisher's Note: This edition from 2017 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new second edition, updated for 2020 and featuring TensorFlow 2, the Keras API, CNNs, GANs, RNNs, NLP, and AutoML, has now been published.
Key Features:
- Implement various deep learning algorithms in Keras and see how deep learning can be used in games
- See how various deep learning models and practical use-cases can be implemented using Keras
- A practical, hands-on guide with real-world examples to give you a strong foundation in Keras
Book Description:
This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of handwritten digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided.
Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GANs). You will also explore non-traditional uses of neural networks as Style Transfer.
Finally, you will look at reinforcement learning and its application to AI game playing, another popular direction of research and application of neural networks.
What You Will Learn:
- Optimize step-by-step functions on a large neural network using the Backpropagation algorithm
- Fine-tune a neural network to improve the quality of results
- Use deep learning for image and audio processing
- Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases
- Identify problems for which Recurrent Neural Network (RNN) solutions are suitable
- Explore the process required to implement Autoencoders
- Evolve a deep neural network using reinforcement learning
Who this book is for:
If you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 10 to 20 business days | 10 to 20 business days |
|---|---|---|
| First item | £ 8.58 | £ 17.16 |
Payment methods
Store description
**WILLKOMMEN** im AbeBooks Shop von medimops - dein Onlineshop mit der größten Auswahl an Second Hand Büchern. Stöber dich durch über 4 Millionen Artikel und spare bis zu 70 % im Vergleich zum Neupreis. Wir prüfen alle Artikel sorgfältig auf Qualität und Funktionalität. **WELCOME** to the medimop's AbeBooks shop, the online shop with a large range of second-hand books. Browse more than 4 million articles and save up to 70% on the new price. All our articles are quality checked. ** BIENVENUE ** dans la boutique AbeBooks de momox shop! Spécialiste des articles culturels d'occasion, nous vous offrons une gamme diversifiée de livres d'occasion. Découvrez nos offres et économisez jusqu'à 70% du prix neuf! Nous grarantissons tous nos articles en bon état. ** BENVENUTI ** nello shop medimops di AbeBooks, lo shop online per i libri usati. Abbiamo piu´di 4 milioni di articoli e potete risparmiare fino al 70% rispetto al nuovo. Tutti i nostri prodotti sono controllati a mano per garantire la massima qualità. ** BIENVENIDO ** a la tienda de medimops en AbeBooks, la tienda online con una gran oferta de libros de segunda mano. Navegue por más de 4 millones de artículos y ahorre hasta un 70% sobre el precio nuevo. Todos nuestros artículos son de calidad comprobada. …
Seller's business information
momox SE
Schreiberhauer Straße 30
Berlin, Germany 10317
Terms of sale
momox SE | Schreiberhauer Straße 30 | 10317 Berlin
represented by the Board of Management Heiner Kroke (spokesman) and Christian von Hohnhorst
VAT ID: DE266608643
Commercial Register HRB 236261 B | AG Berlin Charlottenburg
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to medimops, Leipzig, Germany, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.