English
- استرجاع مجاني وسهل
- أفضل العروض
Packt The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch
الآن:
د.إ. 162.00 شامل ضريبة القيمة المضافة
توصيل مجاني
احصل عليه خلال 12 - 13 مارس
احصل على 5% رصيد مسترجع باستخدام بطاقة بنك المشرق نون الائتمانية. اشترك الآن. قدّم الحين
1
توصيل مجاني لنقطة نون ومراكز الاستلام
معرفة المزيد
إرجاع سهل لكل المنتجات في هذا العرض.
المواصفات
| الناشر | Packt Publishing |
| رقم الكتاب المعياري الدولي 13 | 9781838989217 |
| رقم الكتاب المعياري الدولي 10 | 1838989218 |
| الكاتب | Hyatt Saleh |
| تنسيق الكتاب | Paperback |
| اللغة | English |
| وصف الكتاب | Get a head start in the world of AI and deep learning by developing your skills with PyTorchKey FeaturesLearn how to define your own network architecture in deep learningImplement helpful methods to create and train a model using PyTorch syntaxDiscover how intelligent applications using features like image recognition and speech recognition really process your dataBook DescriptionWant to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you're starting from scratch.It's no surprise that deep learning's popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you'll use PyTorch to understand the complexity of neural network architectures.The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You'll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you'll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues.By the end of this book, you'll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps.What you will learnExplore the different applications of deep learningUnderstand the PyTorch approach to building neural networksCreate and train your very own perceptron using PyTorchSolve regression problems using artificial neural networks (ANNs)Handle computer vision problems with convolutional neural networks (CNNs)Perform language translation tasks using recurrent neural networks (RNNs)Who this book is forThis deep learning book is ideal for anyone who wants to create and train deep learning models using PyTorch. A solid understanding of the Python programming language and its packages will help you grasp the topics covered in the book more quickly. |
| عن المؤلف | Hyatt Saleh discovered the importance of data analysis for understanding and solving real-life problems after graduating from college as a business administrator. Since then, as a self-taught person, she not only works as a machine learning freelancer for many companies globally, but has also founded an artificial intelligence company that aims to optimize everyday processes. She has also authored the book Machine Learning Fundamentals, by Packt Publishing. |
| تاريخ النشر | 20 July 2020 |
| عدد الصفحات | 330 pages |
Packt The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch
تمت الإضافة لعربة التسوق
مجموع السلة 162.00 د.إ.
