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Tag: Deep
Deep Learning with Python, Second Edition
Price:$59.99– $40.51
(as of Nov 21,2024 21:50:41 UTC – Details)
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Deep learning from the ground up. Friendly illustrated tutorial on deep learning fundamentals Professional guide to image and text processing with PyTorch Apply deep learning by building a complete project Serious introduction to deep learning-based image processing Bayesian inference and probablistic programming for deep learningCompatible with
Python 3 Python 3 Python 3 Python 3 Python 3 Python 3Special Features
Written by Keras creator François Chollet Learn core deep learning algorithms using only high school mathematics. Includes an in-depth look at identifying anomalies in medical images Build a complete Go-playing bot that can challenge serious players A comprehensive look at deep learning for image recommendation and classification Create deep learning systems that return ranges of results based on probabilityPraise
“Chollet explains complex concepts with minimal fuss. A joy to read.” — Martin Görner, Google “From a masterful teacher who guides, illuminates, and encourages you along the way.” — Kelvin D. Meeks, International Technology Ventures “We finally have a definitive treatise on PyTorch.” — From the Foreword by Soumith Chintala, Co-creator of PyTorch “Inspired and inspiring. Highly recommended!” — Burk Hufnagel, Daugherty Business Solutions “Real-world problem solving without drowning you in details.” — Burhan Ul Haq, Audit XPRT “Comprehensive walkthrough with lots of practical examples.” — Diego Casella, Centrica Business Solutions, BelgiumPage Count
504 336 520 384 480 296Publisher : Manning; 2nd edition (December 21, 2021)
Language : English
Paperback : 504 pages
ISBN-10 : 1617296864
ISBN-13 : 978-1617296864
Item Weight : 2.35 pounds
Dimensions : 7.38 x 1.3 x 9.25 inchesCustomers say
Customers find the book very educational and helpful. They say it provides a much broader understanding of deep learning. Readers also mention the writing is clear, the content is rich, and easy to grasp.
AI-generated from the text of customer reviews
Deep Learning with Python, Second Edition: Master the field of artificial intelligence with this comprehensive guideAre you ready to dive into the world of deep learning and take your skills to the next level? Look no further than the second edition of Deep Learning with Python. This updated book is packed with practical examples, hands-on exercises, and in-depth explanations to help you master the art of deep learning using Python.
Whether you’re a beginner looking to get started or an experienced practitioner looking to expand your knowledge, this book has something for everyone. From understanding the basics of neural networks to advanced topics like convolutional neural networks and recurrent neural networks, you’ll learn everything you need to know to become an expert in the field.
With the rapid advancements in artificial intelligence, now is the perfect time to sharpen your skills and stay ahead of the curve. Don’t miss out on this opportunity to master deep learning with Python and unlock a world of possibilities. Grab your copy of Deep Learning with Python, Second Edition today and take your career to new heights.
#Deep #Learning #Python #Edition
Deep Learning (Adaptive Computation and Machine Learning series)
Deep Learning (Adaptive Computation and Machine Learning series)
Price : 27.50
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Deep Learning is a powerful subset of artificial intelligence that has revolutionized the way machines learn and make decisions. In the book “Deep Learning” from the Adaptive Computation and Machine Learning series, readers are taken on a comprehensive journey through the principles and techniques of deep learning.From the basics of neural networks to advanced topics like convolutional neural networks and recurrent neural networks, this book covers it all. Readers will gain a deep understanding of how deep learning models work, how they are trained, and how they can be applied to a wide range of tasks such as image recognition, natural language processing, and more.
Whether you are a seasoned machine learning practitioner or a newcomer to the field, “Deep Learning” is an invaluable resource that will help you master this cutting-edge technology. Dive into the world of deep learning and unlock its potential to transform the way we interact with machines.
#Deep #Learning #Adaptive #Computation #Machine #Learning #series
A Deep Dive into the Technology Behind NVIDIA Quadro GPUs
NVIDIA Quadro GPUs are known for their exceptional performance and reliability in the professional graphics and design industries. These powerful graphics processing units are specifically designed to handle complex tasks such as 3D rendering, video editing, and computer-aided design (CAD) with ease. But what exactly sets Quadro GPUs apart from their consumer-grade counterparts?At the heart of NVIDIA Quadro GPUs is the GPU architecture, which is specifically optimized for professional applications. The Quadro series is built on NVIDIA’s Pascal or Turing architecture, which features a higher number of CUDA cores and improved memory bandwidth compared to consumer-grade GPUs. This allows Quadro GPUs to handle large and complex datasets more efficiently, resulting in faster rendering times and smoother performance.
Another key feature of NVIDIA Quadro GPUs is ECC (Error Correcting Code) memory, which helps to prevent data corruption and ensure the accuracy of calculations in professional applications. This is crucial for tasks such as medical imaging, scientific simulations, and financial modeling, where data integrity is paramount.
Quadro GPUs also come equipped with specialized drivers that are optimized for professional applications. These drivers are rigorously tested and certified by software vendors to ensure compatibility and reliability with industry-leading applications such as Autodesk Maya, Adobe Creative Suite, and SolidWorks. This level of support and optimization is essential for professionals who rely on these tools for their day-to-day work.
In addition to their technical specifications, NVIDIA Quadro GPUs also offer unique features such as NVIDIA NVLink, which allows multiple GPUs to work together in a single system for increased performance. This is particularly useful for tasks that require high levels of parallel processing, such as ray tracing and deep learning.
Overall, NVIDIA Quadro GPUs are a powerful and reliable choice for professionals in the graphics and design industries. With their specialized architecture, ECC memory, and optimized drivers, Quadro GPUs are able to handle the most demanding tasks with ease. Whether you’re a 3D artist, video editor, or CAD designer, NVIDIA Quadro GPUs are a solid investment for your workstation.
NVIDIA H100 Hopper PCIe 80GB Graphics Card, 80GB HBM2e, 5120-Bit, PCIe 5.0, Best FIT for Data Center and Deep Learning
Price: $28,029.99
(as of Nov 21,2024 20:57:11 UTC – Details)
IMPORTANT
For brand new H100 units, if the return is not due to product malfunction, a 40% restocking fee will be applied. Please consider your purchase carefully before proceeding.
Graphics Processor
GPU Name
GH100
Architecture
HopperGraphics Card
Generation
Tesla Hopper (Hxx)
Predecessor
Tesla Ada
Production
Active
Bus Interface
PCIe 5.0 x16
Clock Speeds
Base Clock
1095 MHz
Boost Clock
1755 MHz
Memory Clock
1593 MHz (3.2 Gbps effective)
Memory
Memory Size
80 GB
Memory Type
HBM2e
Memory Bus
5120 bit
Bandwidth
2,039 GB/s
Shading Units
14592Slot Width
Dual-slot
Length
268 mm (10.6 inches)
Width
111 mm (4.4 inches)
Suggested PSU
750 W
Outputs
No outputs
Power Connectors
1x 16-pin【Cutting-Edge GPU Architecture】The NVIDIA H100 PCIe 80 GB features the GH100 graphics processor built on the advanced Hopper architecture, utilizing TSMC’s 4 nm process for increased performance and efficiency.
【High-Performance Shading Units】With an impressive 14,592 shading units and 456 tensor cores, this graphics card delivers exceptional rendering capabilities, enhancing both graphics and machine learning applications.
【Massive Memory Configuration】Equipped with 80 GB of HBM2e memory and a broad 5120-bit memory bus, the H100 PCIe 80 GB achieves a remarkable bandwidth of 2,039 GB/s, ensuring smooth and responsive performance for professional workloads.
【Optimized Clock Speeds】The GPU operates at a base clock of 1095 MHz, boostable up to 1755 MHz, while the memory clock runs at 1593 MHz (3.2 Gbps effective), providing a balance of speed and efficiency for various computing tasks.
【Professional Board Design】The dual-slot board design, with dimensions of 268 x 111 mm, incorporates a PCI-Express 5.0 x16 interface. With a TDP of 350 W and a suggested PSU of 750 W, it offers a powerful solution for professional applications, though it lacks display outputs and is not intended for gaming purposes.
Introducing the NVIDIA H100 Hopper PCIe 80GB Graphics Card – The Ultimate Solution for Data Center and Deep Learning!Are you looking for a high-performance graphics card that can handle the demands of data center and deep learning applications? Look no further than the NVIDIA H100 Hopper PCIe 80GB Graphics Card. With an impressive 80GB of HBM2e memory and a massive 5120-bit memory interface, this graphics card is designed to handle even the most complex workloads with ease.
Powered by PCIe 5.0 technology, the NVIDIA H100 Hopper PCIe 80GB Graphics Card delivers lightning-fast data transfer speeds, ensuring that your applications run smoothly and efficiently. Whether you’re training neural networks, running simulations, or processing large datasets, this graphics card has the power and performance you need to get the job done.
In addition to its impressive specs, the NVIDIA H100 Hopper PCIe 80GB Graphics Card is also designed with the needs of data centers and deep learning in mind. With support for multi-GPU configurations, NVLink interconnect technology, and NVIDIA’s suite of software tools, including CUDA and cuDNN, this graphics card is the perfect fit for any data center or deep learning environment.
Don’t settle for anything less than the best – upgrade to the NVIDIA H100 Hopper PCIe 80GB Graphics Card today and experience the ultimate in performance, reliability, and efficiency for your data center and deep learning applications.
#NVIDIA #H100 #Hopper #PCIe #80GB #Graphics #Card #80GB #HBM2e #5120Bit #PCIe #FIT #Data #Center #Deep #Learning
Harnessing the Potential of NVIDIA’s Deep Learning Frameworks
NVIDIA has long been a leader in the field of graphics processing, but in recent years the company has also made significant strides in the world of deep learning. With the development of powerful deep learning frameworks such as TensorFlow and PyTorch, NVIDIA has created tools that allow researchers and developers to harness the potential of deep learning in a variety of applications.One of the key advantages of NVIDIA’s deep learning frameworks is their ability to take advantage of the company’s powerful GPUs. These GPUs are specifically designed to handle the complex calculations required for deep learning algorithms, making them much faster and more efficient than traditional CPUs. This means that researchers and developers can train their deep learning models much more quickly, allowing them to iterate on their designs and improve their accuracy.
In addition to the speed and efficiency of NVIDIA’s GPUs, the company’s deep learning frameworks also offer a wide range of features that make it easier for researchers and developers to build and deploy their models. For example, TensorFlow and PyTorch both offer high-level APIs that allow users to easily define and train their models, as well as tools for visualizing and analyzing the results.
Another key advantage of NVIDIA’s deep learning frameworks is their compatibility with a wide range of hardware and software platforms. This means that researchers and developers can use NVIDIA’s tools to build deep learning models that can run on a variety of devices, from desktop computers to mobile phones to cloud servers. This flexibility makes it easier for developers to deploy their models in real-world applications and reach a wider audience.
Overall, NVIDIA’s deep learning frameworks offer a powerful set of tools that can help researchers and developers harness the potential of deep learning in a variety of applications. Whether you’re working on image recognition, natural language processing, or any other deep learning task, NVIDIA’s frameworks can help you build and deploy models quickly and efficiently. With the company’s continued investment in deep learning research and development, the future looks bright for those looking to leverage the power of deep learning.
NVIDIA Tesla H100 80GB PCIe 5.0 Deep Learning GPU – USA Seller
NVIDIA Tesla H100 80GB PCIe 5.0 Deep Learning GPU – USA Seller
Price :39864.00– 39,864.00
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Are you in the market for a powerful deep learning GPU? Look no further than the NVIDIA Tesla H100 80GB PCIe 5.0 Deep Learning GPU! This cutting-edge GPU is perfect for accelerating AI and data science workloads, making it ideal for researchers, data scientists, and developers who require high-performance computing.With 80GB of memory and PCIe 5.0 connectivity, the Tesla H100 delivers unmatched performance and efficiency for deep learning tasks. Take your projects to the next level with this state-of-the-art GPU.
And the best part? We are a USA Seller, so you can trust that you are getting a quality product with fast shipping and reliable customer service. Don’t wait, upgrade your deep learning capabilities with the NVIDIA Tesla H100 80GB PCIe 5.0 Deep Learning GPU today!
#NVIDIA #Tesla #H100 #80GB #PCIe #Deep #Learning #GPU #USA #Seller
New NVIDIA TESLA A2 16GB Professional Deep Learning AI Computing Graphics Card
New NVIDIA TESLA A2 16GB Professional Deep Learning AI Computing Graphics Card
Price : 569.00
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Introducing the New NVIDIA TESLA A2 16GB Professional Deep Learning AI Computing Graphics Card!Get ready to take your AI computing and deep learning projects to the next level with the powerful NVIDIA TESLA A2. With 16GB of memory, this graphics card is perfect for handling complex neural networks, training models, and running simulations with ease.
Experience lightning-fast performance and unparalleled efficiency, thanks to the cutting-edge architecture and advanced features of the TESLA A2. Whether you’re a data scientist, researcher, or AI enthusiast, this graphics card is sure to exceed your expectations and help you achieve groundbreaking results.
Upgrade your system today and unlock the full potential of your deep learning projects with the NVIDIA TESLA A2 16GB Professional Graphics Card. Don’t miss out on this game-changing technology – get yours now! #NVIDIATESLAA2 #DeepLearning #AIGraphicsCard.
#NVIDIA #TESLA #16GB #Professional #Deep #Learning #Computing #Graphics #Card
Unlocking the Potential of Deep Learning in Healthcare
Deep learning, a subset of artificial intelligence, has been making significant strides in various industries, including healthcare. This powerful technology has the potential to revolutionize the way healthcare is delivered, by improving diagnosis accuracy, treatment effectiveness, and patient outcomes. With its ability to analyze vast amounts of data and identify patterns, deep learning holds great promise for transforming the healthcare industry.One of the key advantages of deep learning in healthcare is its ability to process and analyze large amounts of medical data quickly and accurately. This can help healthcare providers make more informed decisions, leading to better patient outcomes. For example, deep learning algorithms can analyze medical images such as X-rays, MRIs, and CT scans to detect abnormalities or diseases at an early stage. This can help doctors diagnose conditions more accurately and develop personalized treatment plans for patients.
Deep learning can also be used to predict patient outcomes and tailor treatment plans based on individual characteristics. By analyzing patient data such as medical history, genetic information, and lifestyle factors, deep learning algorithms can help healthcare providers predict which patients are at a higher risk of developing certain diseases or complications. This information can be used to develop personalized treatment plans that are more effective and efficient, leading to better patient outcomes.
Additionally, deep learning can help improve the efficiency of healthcare operations by automating tasks that are time-consuming and error-prone. For example, deep learning algorithms can be used to analyze and categorize medical records, streamline administrative processes, and improve the accuracy of billing and coding. This can help healthcare providers save time and resources, allowing them to focus more on patient care.
Despite its potential benefits, there are challenges that need to be addressed in order to fully unlock the potential of deep learning in healthcare. One of the main challenges is the need for large amounts of high-quality data to train deep learning algorithms. Healthcare data is often fragmented, siloed, and unstructured, making it difficult to access and analyze. In addition, there are concerns about patient privacy and data security when using sensitive medical information for deep learning applications.
To overcome these challenges, collaboration between healthcare providers, researchers, and technology companies is essential. By working together to share data, develop standards, and address ethical concerns, we can harness the power of deep learning to improve healthcare delivery and patient outcomes. Additionally, regulatory frameworks and guidelines need to be established to ensure the responsible use of deep learning in healthcare and protect patient privacy.
In conclusion, deep learning has the potential to revolutionize healthcare by improving diagnosis accuracy, treatment effectiveness, and patient outcomes. By leveraging the power of deep learning algorithms to analyze medical data, predict patient outcomes, and automate healthcare operations, we can transform the way healthcare is delivered. With collaboration, innovation, and responsible use, we can unlock the full potential of deep learning in healthcare and improve the lives of patients around the world.
Understanding Deep Learning
Price:$90.00– $60.14
(as of Nov 21,2024 17:21:15 UTC – Details)
Publisher : The MIT Press (December 5, 2023)
Language : English
Hardcover : 544 pages
ISBN-10 : 0262048647
ISBN-13 : 978-0262048644
Item Weight : 2.95 pounds
Dimensions : 8.25 x 1.44 x 9.31 inches
Deep learning is a subset of machine learning that uses artificial neural networks to model and solve complex problems. It is a type of machine learning that is inspired by the structure and function of the human brain. Deep learning algorithms attempt to learn and understand the underlying structure of data by using multiple layers of interconnected nodes, known as neurons.One of the key advantages of deep learning is its ability to automatically learn representations of data through a hierarchical feature learning process. This means that deep learning models can automatically extract and learn relevant features from raw data, without the need for manual feature engineering.
Deep learning has been successfully applied to a wide range of tasks, including image and speech recognition, natural language processing, and autonomous driving. By leveraging the power of neural networks and large amounts of data, deep learning has achieved state-of-the-art performance on many challenging problems.
To understand deep learning, it is important to have a basic understanding of neural networks, backpropagation, and optimization algorithms such as gradient descent. Additionally, knowledge of programming languages such as Python and libraries like TensorFlow and PyTorch is essential for implementing deep learning models.
Overall, deep learning offers a powerful framework for solving complex problems and has the potential to revolutionize many industries in the years to come. By understanding the principles and techniques of deep learning, practitioners can harness its full potential and unlock new possibilities in artificial intelligence and machine learning.
#Understanding #Deep #Learning
Deep Learning: Foundations and Concepts by Christopher M. Bishop Hardcover Book
Deep Learning: Foundations and Concepts by Christopher M. Bishop Hardcover Book
Price : 64.99
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Deep Learning: Foundations and Concepts by Christopher M. Bishop is a comprehensive guide to understanding the fundamental principles of deep learning. This hardcover book delves into the key concepts and techniques that are essential for mastering this cutting-edge technology.In this book, Bishop provides insights into the mathematical foundations of deep learning, including neural networks, optimization algorithms, and regularization techniques. He also explores advanced topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
With a focus on both theory and practical applications, Deep Learning: Foundations and Concepts equips readers with the knowledge and skills needed to develop and deploy deep learning models in various domains, such as computer vision, natural language processing, and reinforcement learning.
Whether you are a beginner looking to learn the basics of deep learning or an experienced practitioner seeking to deepen your understanding of the field, this book is an invaluable resource. Pick up a copy today and embark on your journey to mastering the foundations and concepts of deep learning.
#Deep #Learning #Foundations #Concepts #Christopher #Bishop #Hardcover #Book
