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submitted by /u/iWatchBlack [visit reddit] [comments] |
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New TensorBoard Integration in VS Code
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In the latest update of VS Code last week, they added support for TensorBoard integration in VS Code. Just wanted to share with everyone! To launch tensorboard, just open the command palette in VS Code and search for the command “Launch TensorBoard” It looks like VS Code will automatically look for your TensorBoard log files within your directory. submitted by /u/evilcubed |
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Help with debugging
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submitted by /u/iWatchBlack [visit reddit] [comments] |
Categories
New TensorBoard Integration in VS Code
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In the latest update of VS Code last week, they added support for TensorBoard integration in VS Code. Just wanted to share with everyone! To launch tensorboard, just open the command palette in VS Code and search for the command “Launch TensorBoard” It looks like VS Code will automatically look for your TensorBoard log files within your directory. submitted by /u/evilcubed |
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Help with debugging
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submitted by /u/iWatchBlack [visit reddit] [comments] |
NVIDIA today reported record revenue for the fourth quarter ended January 31, 2021, of $5.00 billion, up 61 percent from $3.11 billion a year earlier, and up 6 percent from $4.73 billion in the previous quarter. The company’s Gaming and Data Center platforms achieved record revenue for the quarter and year.
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How to encrypt a tflite model
Hi,I am trying to run tflite model on browser. It would run client side, I have converted the model to wasm format and am able to run it successfully on browser.
Since, It would be client side, The tflite model would be accessible to everyone. Is it possible to encrypt the model in anyway, So not everyone has access to the model?
The application is built using mediapipe framework, Not sure if it would change the solution.
Thanks!
submitted by /u/cvmldlengineer
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M40 vs 2080S which is better?
So I found out that a tesla M40 has the same amount of cuda cores as a 2080S but 2080S has tensor cores and is a lot more expensive but M40 is a lot cheaper so which would be the best bang for buck?
Price 2080S: 700$ specs: cuda cores 3072 core clock 1815MHz ram 8GB mem clock 2000 (15.5 GB effective) tensor cores: 384
Price M40: 140$(used) specs: cuda cores 3072 core clock 1110MHz ram: 12GB mem clock 1502 (6GBs effective)
Comparing price I would think for coding rendering and AI M40 would be better if you got 2 but tell me what you guys think
submitted by /u/isaiahii10
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For the first time ever, the NVIDIA Deep Learning Institute (DLI) is making its popular instructor-led workshops available to the general public.
For the first time ever, the NVIDIA Deep Learning Institute (DLI) is making its popular instructor-led workshops available to the general public.
With the launch of public workshops this week, enrollment will be open to individual developers, data scientists, researchers, and students. NVIDIA is increasing accessibility and the number of courses available to participants around the world. Now anyone can learn from world-class NVIDIA instructors in courses on AI, accelerated computing, and data science.
Previously, DLI workshops were only available to large organizations that wanted dedicated and specialized training for their in-house developers, or to individuals attending NVIDIA GTC.
Boost Your Skills with Industry Leading Training
Job growth in the tech industry continues and advanced software development skills in deep learning, data science, and accelerated computing are highly sought after. DLI workshops offer a comprehensive learning experience which includes hands-on exercises and guidance from expert instructors certified by DLI. Courses are delivered virtually and in many time zones to reach developers worldwide. In addition to English, many courses are offered in other languages including Chinese and Japanese.
With the introduction of DLI workshops for individuals, NVIDIA is making it easier for anyone to access world-class training. Registration fees cover learning materials, instructors, and access to fully configured GPU accelerated development servers for hands-on exercises.
The current lineup of DLI workshops for individuals includes:
March 2021
- Fundamentals of Accelerated Computing with CUDA Python
- Applications of AI for Predictive Maintenance
April 2021
- Fundamentals of Deep Learning
- Applications of AI for Anomaly Detection
- Fundamentals of Accelerated Computing with CUDA C/C++
- Building Transformer-Based Natural Language Processing Applications
- Deep Learning for Autonomous Vehicles – Perception
- Fundamentals of Accelerated Data Science with RAPIDS
- Accelerating CUDA C++ Applications with Multiple GPUs
- Fundamentals of Deep Learning for Multi-GPUs
May 2021
- Building Intelligent Recommender Systems
- Fundamentals of Accelerated Data Science with RAPIDS
- Deep Learning for Industrial Inspection
- Building Transformer-Based Natural Language Processing Applications
- Applications of AI for Anomaly Detection
Visit the DLI website for details on each course and the full schedule of upcoming workshops, which is regularly updated with new training opportunities.
A complete list of DLI courses are available in the DLI course catalog.
Register today for a DLI instructor-led workshop for individuals. Space is limited so sign up early. For more information, email nvdli@nvidia.com.
submitted by /u/anotsohypocritesoul
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