What topics are covered in 'Hands-On Deep Learning Algorithms with Python'?

The book covers a wide range of topics essential for mastering deep learning algorithms, including neural networks, convolutional networks, and recurrent networks. It provides in-depth mathematical explanations and practical implementations using TensorFlow. Each chapter walks you through complex concepts with examples, enhancing understanding and application. It's beneficial for data scientists, machine learning engineers, and anyone seeking to deepen their knowledge in AI-powered solutions.

Is prior programming knowledge required to understand this book?

While having a basic understanding of Python programming will be beneficial, the book is designed to be accessible to both beginners and experienced individuals. It introduces fundamental programming concepts as they relate to deep learning. Practical exercises and real-world applications help solidify these concepts, making it easier for readers to grasp difficult topics. This makes it suitable for students and professionals alike who are venturing into neural networks and deep learning.

What programming experience is necessary to implement the algorithms?

A foundational understanding of Python is necessary, as the algorithms are implemented using this programming language and TensorFlow framework. Familiarity with libraries such as NumPy and Matplotlib can enhance your experience, but they are not mandatory. The book features practical coding examples and step-by-step instructions. This hands-on approach helps readers learn how to apply theoretical concepts to solve real-world problems, making it a great resource for learners and practitioners.

Can beginners benefit from this book on deep learning?

Absolutely! This book is structured with beginners in mind, providing clear explanations of complex topics. The author utilizes a step-by-step approach to guide readers through various algorithms and their applications. Each chapter builds on the previous one, allowing for gradual understanding and mastery. Beginners can effectively learn deep learning concepts and techniques, laying a strong foundation for more advanced studies or career opportunities in AI development.

How does this book differ from others on deep learning?

What sets this book apart is its strong focus on practical implementation alongside extensive mathematical foundations. Unlike other resources that might overlook the math, this book ensures that readers understand the 'why' behind the algorithms, enhancing theoretical knowledge and practical skills. Moreover, it employs TensorFlow, a leading framework in the industry, allowing readers to implement real-world projects. This combination of depth and practical application is invaluable for aspiring data scientists.

Who is the target audience for this book?

The target audience includes students, data science beginners, and professionals looking to enhance their understanding of deep learning. Whether pursuing a degree in computer science, transitioning into a data science role, or interested in AI, this book provides valuable insights and hands-on experience. The practical projects featured address real challenges faced by professionals, making it useful for both personal growth and career advancement in technology.

Are there exercises and projects included in the book?

Yes, the book includes numerous exercises and practical projects designed to reinforce learning and application of the concepts discussed. Each chapter features coding challenges that encourage readers to apply the theory directly. These projects range from image classification with convolutional neural networks to natural language processing tasks. Such hands-on experience is crucial for those looking to build a robust portfolio in machine learning and deep learning.

How can I apply the knowledge gained from this book in real-world scenarios?

Knowledge from this book can be applied in various fields such as healthcare for predictive analytics, finance for algorithmic trading, and marketing for customer segmentation. By understanding and implementing deep learning algorithms, readers can develop smart applications that offer insights and automation. This book equips you with the necessary skills to tackle real-world data challenges, making it a valuable resource for personal projects or career applications.

What materials or software do I need to get started with this book?

To start with this book, you will need a computer capable of running Python and TensorFlow. It’s advisable to have an IDE or text editor like Jupyter Notebook or VS Code installed for coding. Additionally, you'll want access to datasets for practice, many of which can be found online. By setting up a suitable environment, you can effectively manage the coding exercises and engage with the examples in the book, ensuring a smoother learning experience.

Where can I buy 'Hands-On Deep Learning Algorithms with Python'?

You can conveniently purchase 'Hands-On Deep Learning Algorithms with Python' on Ubuy in Saudi Arabia. Ubuy offers a user-friendly shopping experience with a variety of options, making it easy for you to access this comprehensive guide. Their platform often features additional resources and customer reviews, enhancing your decision-making process while you browse for this insightful deep learning resource.

كيف تتسوق Hands-On Deep Learning Algorithms with Python: عبر الانترنت من يوباى?

من السهل التسوق في Hands-On Deep Learning Algorithms with Python: عبر الإنترنت من يوباي. كل ما عليك فعله هو البحث عن المنتج واختيار طريقة الشحن الخاصة بك أثناء الدفع وسيتم توصيله الى عنوانك

هل Hands-On Deep Learning Algorithms with Python: متوفر للتسوق عبر الإنترنت في Saudi Arabia؟

نعم ، في يوباي Saudi Arabia هذا المنتج متاح لك للتسوق بسعر مناسب. Hands-On Deep Learning Algorithms with Python: غير متوفر محليًا ولكن يمكنك الوثوق بنا بخدماتنا للشحن السريع.

كم من الوقت يستغرق الحصول على المنتج بعد تقديم الطلب؟

يختلف وقت تسليم المنتج الذي طلبته حسب ما طلبته وطريقة الشحن التي اخترتها. يتم ذكر وقت التسليم المقدر أثناء عملية الدفع ، لذا كن مرتاحًا أثناء التسوق.

عرض الأصل

Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow

Master basic to advanced deep learning algorithms and their mathematical principles using TensorFlow

منتج #: 45304811

Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow

90% من المشترين سيوصون بهذا المنتج لصديق

منتج #: 45304811

SAR 210

تفاصيل السعر

باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )

^{*سيتم استيراد جميع العناصر من أمريكا}

التوافر : متوفر فى المخزون

مستورد من متجر USA

كمية:

اطلب الآن واحصل عليه حول Sunday, أكتوبر 11

معاملة آمنة

أفضل شركائنا اللوجستيين

Master basic to advanced deep learning algorithms and their mathematical principles using TensorFlow

Paperback

كفالة يو كير:

لا شيء

اختر الباقة

اشتر الآن وادفع لاحقاً

شحن
سريع

استرجاع
مجاني^*

تغليف آمن

منتجات أصلية %100

الامتثال لمعيار PCI DSS

حاصل على شهادة ISO 27001

Note: Step Down Voltage Transformer required for using electronics products of أمريكا store (110-120). Recommended power converters اشتري الآن.

أبرز ما يلفت الانتباه

Comprehensive Learning

This book offers a thorough understanding of deep learning algorithms, combining mathematical insights with practical implementation using TensorFlow to ensure a solid foundation for learners at all levels.

Hands-On Approach

By focusing on hands-on projects, readers can apply theoretical concepts directly, fostering deeper learning and retention, while gaining practical experience in building and deploying deep learning models.

Expert Guidance

Authored by experienced professionals, the book provides clear explanations, advanced tips, and best practices, making complex topics accessible and applicable for both beginners and seasoned practitioners in deep learning.

تفاصيل المنتج

Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications.Key FeaturesGet up-to-speed with building your own neural networks from scratch Gain insights into the mathematical principles behind deep learning algorithmsImplement popular deep learning algorithms such as CNNs, RNNs, and more using TensorFlowBook DescriptionDeep learning is one of the most popular domains in the AI space, allowing you to develop multi-layered models of varying complexities. This book introduces you to popular deep learning algorithms-from basic to advanced-and shows you how to implement them from scratch using TensorFlow. Throughout the book, you will gain insights into each algorithm, the mathematical principles behind it, and how to implement it in the best possible manner. The book starts by explaining how you can build your own neural networks, followed by introducing you to TensorFlow, the powerful Python-based library for machine learning and deep learning. Moving on, you will get up to speed with gradient descent variants, such as NAG, AMSGrad, AdaDelta, Adam, and Nadam. The book will then provide you with insights into RNNs and LSTM and how to generate song lyrics with RNN. Next, you will master the math for convolutional and capsule networks, widely used for image recognition tasks. Then you learn how machines understand the semantics of words and documents using CBOW, skip-gram, and PV-DM. Afterward, you will explore various GANs, including InfoGAN and LSGAN, and autoencoders, such as contractive autoencoders and VAE. By the end of this book, you will be equipped with all the skills you need to implement deep learning in your own projects.What you will learnImplement basic-to-advanced deep learning algorithmsMaster the mathematics behind deep learning algorithmsBecome familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, and NadamImplement recurrent networks, such as RNN, LSTM, GRU, and seq2seq modelsUnderstand how machines interpret images using CNN and capsule networksImplement different types of generative adversarial network, such as CGAN, CycleGAN, and StackGANExplore various types of autoencoder, such as Sparse autoencoders, DAE, CAE, and VAEWho this book is forIf you are a machine learning engineer, data scientist, AI developer, or simply want to focus on neural networks and deep learning, this book is for you. Those who are completely new to deep learning, but have some experience in machine learning and Python programming, will also find the book very helpful.Table of ContentsIntroduction to Deep LearningGetting to know TensorflowGradient Descent and its variantsGenerating song lyrics using RNNImprovements to the RNNDemystifying Convolutional networksRepresentation learning using word embeddingsGenerative adversarial networksMore About GANsAutoencodersFew shot learnings

Publisher	Packt Publishing
Publication date	July 25, 2019
Language	English
Print length	512 pages
ISBN-10	1789344158
ISBN-13	978-1789344158
Item Weight	2.06 pounds (930 grams)
Dimensions	7.5 x 1.16 x 9.25 inches (19.1 x 2.9 x 23.5 cm)

من يجب أن يشتري؟

Aspiring Data Scientists
Ideal for individuals looking to deepen their understanding of deep learning and practical applications using TensorFlow.
Academic Researchers
Useful for researchers needing to implement deep learning algorithms for experiments or papers with a strong mathematical foundation.
Practical Coders
Perfect for programmers seeking hands-on experience with deep learning concepts and the implementation of algorithms in Python.

Complete Beginners
Not suitable for those without any background in programming or basic machine learning concepts and terminology.

وصف المنتج

About This Item

Are you ready to delve into the world of deep learning algorithms? Look no further than "Hands-On Deep Learning Algorithms with Python." This comprehensive guide will help you master the intricacies of deep learning algorithms by implementing them using TensorFlow. Whether you're a beginner or an experienced programmer, this book is designed to cater to all skill levels. With extensive mathematical explanations, you'll gain a solid understanding of the theory behind deep learning algorithms.

What sets this book apart is its hands-on approach. You'll find practical examples and step-by-step instructions to help you implement the algorithms using Python. By working through the exercises, you'll not only enhance your theoretical knowledge but also gain practical experience. With "Hands-On Deep Learning Algorithms with Python," you'll explore various popular deep learning algorithms and learn how to apply them to real-world scenarios.

Whether you're interested in computer vision, natural language processing, or predictive analytics, this book covers it all. The use of TensorFlow, a powerful open-source library for deep learning, enhances the learning experience. You'll learn how to leverage its capabilities to build, train, and evaluate neural networks. Stay ahead of the curve and become an expert in deep learning algorithms with this invaluable resource.

Order your copy of "Hands-On Deep Learning Algorithms with Python" today and unlock the potential of deep learning for your projects. Keywords: Deep Learning Algorithms, Deep Learning Algorithms with Python, extensive math TensorFlow, Hands-On Deep Learning Algorithms, Hands-On Deep Learning Algorithms with Python, Ubuy, Ubuy Deep Learning, Ubuy Deep Learning Algorithms, Ubuy Deep Learning Algorithms with Python, Ubuy extensive math, Ubuy extensive math TensorFlow, Ubuy Hands-On Deep Learning, Ubuy Hands-On Deep Learning Algorithms, Ubuy Hands-On Deep Learning Algorithms with Python, Ubuy Python.

هل لديك أي استفسار؟ تحدث معنا

أسئلة العملاء & الإجابات

سؤال: كيف تتسوق Hands-On Deep Learning Algorithms with Python: عبر الانترنت من يوباى?

إجابه: من السهل التسوق في Hands-On Deep Learning Algorithms with Python: عبر الإنترنت من يوباي. كل ما عليك فعله هو البحث عن المنتج واختيار طريقة الشحن الخاصة بك أثناء الدفع وسيتم توصيله الى عنوانك
سؤال: هل Hands-On Deep Learning Algorithms with Python: متوفر للتسوق عبر الإنترنت في Saudi Arabia؟

إجابه: نعم ، في يوباي Saudi Arabia هذا المنتج متاح لك للتسوق بسعر مناسب. Hands-On Deep Learning Algorithms with Python: غير متوفر محليًا ولكن يمكنك الوثوق بنا بخدماتنا للشحن السريع.
سؤال: كم من الوقت يستغرق الحصول على المنتج بعد تقديم الطلب؟

إجابه: يختلف وقت تسليم المنتج الذي طلبته حسب ما طلبته وطريقة الشحن التي اخترتها. يتم ذكر وقت التسليم المقدر أثناء عملية الدفع ، لذا كن مرتاحًا أثناء التسوق.

Computers & Technology Editorial Review

Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow offers readers an in-depth understanding of deep learning concepts through practical exercises. Published by Packt Publishing, this 512-page book balances theoretical foundations with hands-on TensorFlow implementations, making complex topics approachable for developers. The book serves as a vital resource for those looking to enhance their skills in deep learning with a solid mathematical base, catering to a range of experience levels while promoting an engaging learning experience.

مراجعات العملاء وتقييماتهم

5.0

1 تقييمات العملاء

5 نجمة

100%
4 نجمة

0%
3 نجمة

0%
2 نجمة

0%
1 نجمة

0%

أضف تقييم لهذا المنتج

شارك أفكارك مع عملاء آخرين

إيجابيات

Extensive math concepts explored thoroughly
Practical TensorFlow implementations provided
Suitable for various skill levels
Well-structured and easy to follow
Published by a reputable source

سلبيات

The book is quite lengthy for some readers

تاريخ سعر المنتج

معلومات مهمة

القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.

SAR 210

اطلب الآن واحصل عليه حول Sunday, أكتوبر 11

كمية:

معاملة آمنة

نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.

أفضل شركائنا اللوجستيين

أسرع توصيل عبر الحدود

المميزات والفوائد

Build your own neural networks from scratch
Implement popular algorithms such as CNNs, RNNs, and more
Understand gradient descent and its variants
Explore GANs and autoencoders
Learn how to interpret images using convolutional and capsule networks
Apply deep learning to your own projects

ضمان Ubuy

تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني^*، وتغليف آمن لكل طلب.

Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow

SAR 210

اشتر الآن وادفع لاحقاً

شحن سريع

استرجاع مجاني*

تغليف آمن

منتجات أصلية %100

الامتثال لمعيار PCI DSS

حاصل على شهادة ISO 27001

أبرز ما يلفت الانتباه

تفاصيل المنتج

من يجب أن يشتري؟

وصف المنتج

About This Item

أسئلة العملاء & الإجابات

Computers & Technology Editorial Review

مراجعات العملاء وتقييماتهم

أضف تقييم لهذا المنتج

إيجابيات

سلبيات

تاريخ سعر المنتج

معلومات مهمة

SAR 210

المميزات والفوائد

ضمان Ubuy

شحن
سريع

استرجاع
مجاني^*