Are you ready to catapult your career in deep learning and conquer those challenging job interviews with confidence? Look no further! Introducing "Keras and Deep Learning: 100 Interview Questions" - the definitive resource that will propel you to new heights in the competitive world of deep learning.

Designed by industry experts, this comprehensive guide is tailored to elevate your understanding of Keras, the most popular and user-friendly deep learning library, as well as deep learning frameworks and architectures. This book is your secret weapon to help you stand out from the crowd and secure your dream job.

Here's why "Keras and Deep Learning: 100 Interview Questions" is your ultimate guide to success:

🚀 Master the Fundamentals: Learn the basics and build a strong foundation in deep learning and Keras, ensuring you're well-prepared for any interview scenario.

🧠 Progress at Your Pace: With questions categorized into four difficulty levels - Basic, Intermediate, Advanced, and Expert - you'll experience a smooth and structured learning journey.

💡 Comprehensive Coverage: Delve into a wide range of topics, from model training and evaluation to advanced techniques such as neural architecture search and meta-learning. We've got you covered!

🌐 Explore Various Architectures: Gain insights into recurrent neural networks, convolutional neural networks, graph neural networks, and more, along with their applications and nuances.

🔥 Practical Examples & Advice: Benefit from detailed explanations, real-world examples, and invaluable tips to sharpen your understanding and boost your confidence.

Don't miss out on this opportunity to unlock your potential and excel in the thriving field of deep learning. Grab your copy of "Keras and Deep Learning: 100 Interview Questions" today and take the first step towards a successful and rewarding career!

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

Description de la librairie

Hello! Ria Christie Collections is an online venture that was initially set up in 2012 to sell books. We do not have a physical high street store. We are professional online booksellers. We only sell brand new books in perfect condition that we source from various suppliers and the publishers. Primarily, our aim is to provide an excellent service to all our customers. We always work as a team to achieve this. Our other objectives are to: 1. Ensure that all our products reach their destination quickly in a safe and secure manner 2. Answer to all our customer queries within 24 hours 3. Ensure that our customers are happy with their purchases 4. Provide all the items at a competitive price 5. Always listen to our customers Ria Christie Collections is not a registered company. It is a Sole Trader venture. Other key information is shown below: Contact Person Name: Rakesh Luchmun (Mr) Storefront Name: Ria Christie Collections Place of Establishment Address: Suite B; ARUN House; ARUN Building Arundel Road Uxbridge UB8 2RR United Kingdom E-Mail Address: riachristie@hotmail.co.uk VAT Number: GB 160 5650 25 We always work hard and aim to comply with all of Abebooks Policies. If you have any issues, please do not hesitate to write to us whether before or after a purchase. We promise to reply to you promptly and, in any case, within 24 hours. Thank you kindly! Yours sincerely Mr Rakesh Luchmun (Founder) and the Ria Christie Collections Team

Visitez la page d�accueil du vendeur

Informations commerciales relatives au vendeur

Ryefield Investments Limited
175 Pield Heath Road, Uxbridge, UB8 3NL, United Kingdom

Conditions de vente :

All Returns and Refund are as per Abebooks policies.

Conditions de livraison :

Orders usually ship within 2 business days. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required. Thank you!

Modes de paiement
accept�s par le vendeur

Ajouter aux demandes de livres

Articles li�s � Keras & Deep Learning: 100 Interview Questions...

Keras & Deep Learning: 100 Interview Questions (Advanced Topics in Machine Learning)

Wang, X.Y.

Neuf(s) - Couverture souple

Informations commerciales relatives au vendeur