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Tag: Deep
12U-01 Wall Mount Network Rack for 19 Inch Equipment 17 Inch Deep Server Rack Glass Locking Door
Price: $139.99
(as of Nov 21,2024 13:35:15 UTC – Details)
Product Description
2 Fan Vent Holes Reserve 2 cooling fan mounting holes for additional fans to enhance heat dissipation performance.
Removable side panels Detachable side panels for easy installation and maintenance of the unit
Shelf Matching Shelf，holds equipment that cannot be mounted on square rails
Glass Door Easy to monitor the status of equipment inside the cabinet through the glass panel
Product Comparison
Package Dimensions
17.71 x 21.65 x 13.77 inches
Package Dimensions
23.1 x 21.3 x 7.9 inches
Package Dimensions
25.3 x 23.5 x 8 inches
Load-bearing
110LBS
Load-bearing
130LBS
Load-bearing
155LBS
Item Weight
24.7 pounds
Item Weight
30 pounds
Item Weight
34.8 pounds
High Quality：Wall mount cabinet is constructed of high quality cold rolled steel with a black laser coated finish for outstanding durability and can hold up to 155LBS. Cabinet meets the requirements of EIA/ECA 310 and is equipped with square mounting rails for adjusting the position of the equipment, and can be installed with multiple equipments to improve the space utilisation.
Heat Dissipation：Wall mount server rack door with tempered glass makes it easy to directly monitor the status of the equipment inside the cabinet,the heat sink is used to dissipate heat and increase air circulation, and two fan mounting holes are reserved at the top of the cabinet for mounting fans to enhance the cabinet’s heat dissipation performance.
Convenient Design：Server cabinet door panel with locking cabinet door greatly improves cabinet security and can effectively deny unauthorised access. Server rack cabinet door can be customised to open the direction of the door, to avoid the narrow space can not open the door.Server cabinet equipped with universal castors.
Standard Specification：23.63″ H x 21.65″ W x 17.72″ D standard 12U-01 wall mount rack has multiple wiring holes to route cables in a variety of ways and is paired with shelves that can be used to divide up the space as well as hold small form factor equipment.
After-Sales Service：CHEALON provides 1 year product warranty for the product, if you have any questions about the product, you can contact us at any time, we will give you an answer within 24 hours, to ensure that you enjoy a wonderful shopping experience, we will do our best to help you.
Looking for a sleek and secure storage solution for your networking equipment? Look no further than the 12U-01 Wall Mount Network Rack. This 19 inch equipment rack is designed to securely store your servers and networking gear while saving space in your office or server room.With a depth of 17 inches, this server rack is perfect for holding all of your essential equipment in one convenient location. The glass locking door ensures that your gear stays safe and secure, while still allowing for easy access when needed.
Whether you’re setting up a new network or upgrading your current setup, the 12U-01 Wall Mount Network Rack is the perfect solution for keeping your equipment organized and protected. Order yours today and take your networking setup to the next level!
#12U01 #Wall #Mount #Network #Rack #Inch #Equipment #Inch #Deep #Server #Rack #Glass #Locking #Door
Deep Learning at Scale: At the Intersection of Hardware, Software, and Data
Price:$79.99– $54.19
(as of Nov 21,2024 13:27:08 UTC – Details)
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Sharing the knowledge of experts
O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.
Publisher : O’Reilly Media; 1st edition (July 23, 2024)
Language : English
Paperback : 448 pages
ISBN-10 : 1098145283
ISBN-13 : 978-1098145286
Item Weight : 1.56 pounds
Dimensions : 7 x 0.91 x 9.19 inches
Deep learning has revolutionized the field of artificial intelligence, enabling machines to learn complex patterns and make decisions in a way that mimics human intelligence. However, as datasets and models continue to grow in size and complexity, the need for scalable, efficient deep learning systems becomes increasingly critical.At the intersection of hardware, software, and data lies the key to unlocking the full potential of deep learning at scale. Hardware advancements, such as GPUs and specialized AI chips, have greatly accelerated the training and inference processes, allowing for faster and more efficient computations. On the software side, frameworks like TensorFlow and PyTorch have made it easier for researchers and developers to build and deploy deep learning models at scale.
But perhaps the most crucial piece of the puzzle is data. Deep learning models are only as good as the data they are trained on, and the quality and quantity of data play a significant role in the performance of these models. With the proliferation of big data and the advent of techniques like transfer learning and data augmentation, researchers are finding new ways to leverage data to improve the accuracy and generalizability of deep learning models.
In order to truly harness the power of deep learning at scale, it is essential to take a holistic approach that considers the interplay between hardware, software, and data. By optimizing each of these components and exploring innovative solutions at their intersection, we can push the boundaries of what is possible with deep learning and pave the way for exciting advancements in AI.
#Deep #Learning #Scale #Intersection #Hardware #Software #Data
nVIDIA Tesla K80 Server GPU Accelerator Card 24GB vRAM AI Machine Deep Learning
nVIDIA Tesla K80 Server GPU Accelerator Card 24GB vRAM AI Machine Deep Learning
Price : 199.00
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Introducing the nVIDIA Tesla K80 Server GPU Accelerator Card: The Ultimate AI and Deep Learning MachineAre you looking to take your AI and deep learning projects to the next level? Look no further than the nVIDIA Tesla K80 Server GPU Accelerator Card. With an impressive 24GB of vRAM, this powerful GPU is designed to handle even the most demanding computational tasks with ease.
Whether you’re training neural networks, running complex simulations, or analyzing massive datasets, the Tesla K80 has the performance and reliability you need to get the job done. With dual Kepler GPUs and a high-speed interconnect, this card delivers unparalleled processing power for your most intensive workloads.
Don’t let slow performance hold you back – upgrade to the nVIDIA Tesla K80 Server GPU Accelerator Card today and supercharge your AI and deep learning projects. Experience the power of cutting-edge technology and unleash the full potential of your machine learning applications.
#nVIDIA #Tesla #K80 #Server #GPU #Accelerator #Card #24GB #vRAM #Machine #Deep #Learning
The Revolution of Deep Learning with NVIDIA GPUs
Deep learning has revolutionized the field of artificial intelligence in recent years, allowing machines to learn from data and make decisions without explicit programming. One of the key enablers of this revolution has been the use of powerful graphics processing units (GPUs) from NVIDIA.NVIDIA GPUs are well-known for their high processing power and parallel computing capabilities, making them ideal for handling the complex calculations required for deep learning tasks. With thousands of cores that can run in parallel, GPUs can process large amounts of data much faster than traditional central processing units (CPUs).
In the early days of deep learning, researchers and developers struggled to train neural networks on large datasets due to the computational demands of the algorithms. However, with the introduction of NVIDIA GPUs, training times have been dramatically reduced, making it possible to train deep learning models on massive datasets in a fraction of the time.
One of the key advantages of using NVIDIA GPUs for deep learning is their support for popular deep learning frameworks such as TensorFlow, PyTorch, and Caffe. These frameworks have been optimized to take advantage of the parallel computing capabilities of NVIDIA GPUs, allowing developers to easily build and train deep learning models on powerful hardware.
Furthermore, NVIDIA has also developed specialized hardware accelerators such as the Tensor Core GPU, which is designed specifically for deep learning tasks. These accelerators can further speed up the training and inference process, allowing for even faster and more efficient deep learning models.
The combination of powerful NVIDIA GPUs and optimized deep learning frameworks has greatly accelerated the pace of innovation in the field of artificial intelligence. Researchers and developers can now train complex deep learning models on massive datasets, leading to breakthroughs in areas such as image recognition, natural language processing, and autonomous driving.
As deep learning continues to advance, the role of NVIDIA GPUs in powering these advancements will only become more crucial. With their unmatched processing power and support for deep learning frameworks, NVIDIA GPUs are driving the revolution of deep learning and shaping the future of artificial intelligence.
nVIDIA Tesla K80 GPU Accelerator Card 24GB vRAM Machine Deep Learning AI
nVIDIA Tesla K80 GPU Accelerator Card 24GB vRAM Machine Deep Learning AI
Price : 214.00
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Are you looking to take your deep learning AI projects to the next level? Look no further than the nVIDIA Tesla K80 GPU Accelerator Card with a massive 24GB of vRAM. This powerful machine is designed to handle the most demanding AI workloads with ease, allowing you to train your models faster and more efficiently than ever before.With dual GPUs and a total of 4992 CUDA cores, the Tesla K80 is capable of delivering the performance you need to tackle even the most complex deep learning tasks. Whether you’re working on image recognition, natural language processing, or any other AI application, this GPU accelerator card has the power to help you achieve your goals.
Don’t let your AI projects be limited by hardware constraints. Upgrade to the nVIDIA Tesla K80 GPU Accelerator Card and unleash the full potential of your machine learning endeavors.
#nVIDIA #Tesla #K80 #GPU #Accelerator #Card #24GB #vRAM #Machine #Deep #Learning
Deep Learning (Adaptive Computation and Machine Learning series)
Price:$100.00– $60.50
(as of Nov 21,2024 12:15:26 UTC – Details)
Publisher : The MIT Press (November 18, 2016)
Language : English
Hardcover : 800 pages
ISBN-10 : 0262035618
ISBN-13 : 978-0262035613
Reading age : 18 years and up
Grade level : 12 and up
Item Weight : 2.54 pounds
Dimensions : 9.1 x 7.2 x 1.1 inchesCustomers say
Customers find the book’s content good as advertised. They say it provides practical details that papers gloss over. However, some customers report issues with the paper thickness and binding. Opinions are mixed on the writing quality, with some finding it well-written and readable, while others say it’s poorly written and terse. Readers also have mixed opinions on the value for money, with some finding it priceless and worth it, while others say it has no practical value.
AI-generated from the text of customer reviews
Deep Learning (Adaptive Computation and Machine Learning series)Deep learning has become a buzzword in the field of artificial intelligence and machine learning, revolutionizing the way we approach complex problems. In this post, we will explore the fundamentals of deep learning and its applications in various industries.
Deep learning is a subset of machine learning that focuses on learning representations of data through multiple layers of neural networks. These neural networks are inspired by the structure and function of the human brain, allowing them to learn and adapt to new information.
One of the key advantages of deep learning is its ability to automatically discover intricate patterns and relationships within large datasets. This has led to breakthroughs in areas such as image recognition, natural language processing, and speech recognition.
In the book “Deep Learning” from the Adaptive Computation and Machine Learning series, authors Ian Goodfellow, Yoshua Bengio, and Aaron Courville provide an in-depth look at the theory and practice of deep learning. They cover topics such as neural networks, optimization algorithms, and generative models, making it a valuable resource for both beginners and experts in the field.
Whether you are a researcher, student, or industry professional, understanding deep learning can open up a world of possibilities for solving complex problems. Stay tuned for more insights on this exciting area of machine learning!
#Deep #Learning #Adaptive #Computation #Machine #Learning #series
Demystifying Deep Learning: A Beginner’s Guide
Deep learning is a type of machine learning that has gained significant attention in recent years for its ability to revolutionize industries such as healthcare, finance, and technology. However, for beginners, the concept of deep learning can seem daunting and complex. In this article, we will demystify deep learning and provide a beginner’s guide to understanding this powerful technology.At its core, deep learning is a subset of machine learning that uses artificial neural networks to model and interpret complex patterns in data. These neural networks are inspired by the structure and function of the human brain, with layers of interconnected nodes that process and learn from input data. The term “deep” in deep learning refers to the multiple layers of neurons in these networks, which allow them to learn hierarchical representations of data.
One of the key advantages of deep learning is its ability to automatically extract features from raw data, eliminating the need for manual feature engineering. This makes deep learning particularly well-suited for tasks such as image and speech recognition, natural language processing, and predictive analytics.
To get started with deep learning, beginners should first familiarize themselves with the basic concepts of machine learning, such as supervised and unsupervised learning, as well as neural networks. There are many online resources and tutorials available that can help beginners build a foundation in these areas.
Next, beginners should explore popular deep learning frameworks such as TensorFlow and PyTorch, which provide tools and libraries for building and training neural networks. These frameworks offer pre-built models and tutorials that can help beginners get started with their own deep learning projects.
When designing a deep learning model, beginners should consider factors such as the architecture of the neural network, the choice of activation functions, and the optimization algorithm. Experimenting with different configurations and hyperparameters is key to achieving optimal performance.
It’s also important for beginners to understand the limitations of deep learning, such as the need for large amounts of labeled data and computational resources. Deep learning models can be computationally intensive and may require specialized hardware such as GPUs to train effectively.
In conclusion, deep learning is a powerful technology that has the potential to transform industries and drive innovation. By following this beginner’s guide and exploring the fundamentals of machine learning and neural networks, beginners can begin to demystify deep learning and harness its potential for their own projects and applications.
Deep Learning : Foundations and Concepts by Hugh Bishop and Christopher M….
Deep Learning : Foundations and Concepts by Hugh Bishop and Christopher M….
Price : 69.99
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Deep Learning : Foundations and Concepts by Hugh Bishop and Christopher M….In the ever-evolving field of artificial intelligence, deep learning has emerged as a powerful tool for solving complex problems and making sense of vast amounts of data. In their book “Deep Learning: Foundations and Concepts,” authors Hugh Bishop and Christopher M. provide a comprehensive overview of the fundamental principles and techniques behind this cutting-edge technology.
From neural networks to convolutional neural networks, Bishop and M. cover a wide range of deep learning models and architectures, explaining their underlying concepts and applications in a clear and accessible manner. Whether you’re a beginner looking to understand the basics or an experienced practitioner seeking to deepen your knowledge, this book offers valuable insights and practical guidance for mastering the art of deep learning.
Featuring real-world examples, hands-on exercises, and insightful case studies, “Deep Learning: Foundations and Concepts” is a must-read for anyone interested in harnessing the power of artificial intelligence to drive innovation and create impact. Get your copy today and unlock the potential of deep learning in your own projects and research endeavors.
#Deep #Learning #Foundations #Concepts #Hugh #Bishop #Christopher #M…
Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Price:$74.99– $38.97
(as of Nov 21,2024 11:10:42 UTC – Details)
From the Publisher
You Will Learn About
Perceptron and other artificial neurons
They are the fundamental building blocks of deep neural networks that have enabled the DL revolution.
Fully connected feedforward networks and convolutional networks
You will apply these networks to solve practical problems, such as predicting housing prices based on a large number of variables or identifying to which category an image belongs.
Ways to represent words from a natural language using an encoding
Encoding captures some of the semantics of the encoded words. Encodings are used together with a recurrent neural network to create a neural-based natural language translator. This translator can automatically translate simple sentences from English to French or other similar languages.
Building an image-captioning network
Networks that combines image and language processing. This network takes an image as an input and automatically generates a natural language description of the image.
Publisher : Addison-Wesley Professional; 1st edition (August 17, 2021)
Language : English
Paperback : 752 pages
ISBN-10 : 0137470355
ISBN-13 : 978-0137470358
Item Weight : 2.15 pounds
Dimensions : 7.3 x 1.1 x 9 inches
Are you interested in diving into the world of deep learning and mastering the theory and practice of neural networks, computer vision, natural language processing, and transformers? Look no further than our new post on Learning Deep Learning using TensorFlow!In this comprehensive guide, we will cover everything you need to know to become proficient in deep learning. From understanding the fundamentals of neural networks to implementing advanced techniques in computer vision and natural language processing, we will provide you with a solid foundation in this cutting-edge field.
Whether you are a beginner looking to start your journey in deep learning or an experienced practitioner seeking to enhance your skills, this post will help you achieve your goals. So grab your laptop, fire up TensorFlow, and let’s start learning together!
#DeepLearning #NeuralNetworks #ComputerVision #NLP #Transformers #TensorFlow #MachineLearning #ArtificialIntelligence
#Learning #Deep #Learning #Theory #Practice #Neural #Networks #Computer #Vision #Natural #Language #Processing #Transformers #TensorFlow
NVIDIA TESLA A2 Graphics 16G Professional Computing Card Deep Learning AI
NVIDIA TESLA A2 Graphics 16G Professional Computing Card Deep Learning AI
Price : 613.99
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Introducing the NVIDIA TESLA A2 Graphics 16G Professional Computing Card – The Ultimate Solution for Deep Learning and AI ApplicationsAre you looking for a powerful and efficient solution for your deep learning and AI computing needs? Look no further than the NVIDIA TESLA A2 Graphics 16G Professional Computing Card. This cutting-edge graphics card is designed to deliver unparalleled performance and reliability for professionals working in the field of artificial intelligence and deep learning.
With 16GB of high-speed memory and advanced NVIDIA CUDA cores, the TESLA A2 is capable of handling even the most complex computing tasks with ease. Whether you’re training neural networks, running simulations, or performing data analysis, this card is sure to provide the speed and performance you need to get the job done quickly and efficiently.
In addition to its impressive technical specifications, the TESLA A2 is also equipped with advanced cooling technology to ensure optimal performance under heavy workloads. This means you can focus on your work without having to worry about overheating or performance bottlenecks.
If you’re ready to take your deep learning and AI applications to the next level, the NVIDIA TESLA A2 Graphics 16G Professional Computing Card is the perfect choice. Experience the power of NVIDIA’s latest technology and unlock new possibilities for your work.
#NVIDIA #TESLA #Graphics #16G #Professional #Computing #Card #Deep #Learning
