Category: Misc

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Misc

How did the Keras Syntax changed over the time?

Hello,

I recently stumbled over a video tutorial with code examples. I tried to figure out what happens in the code, and did some research in the keras developer guides. I don’t have much experience with coding, but I think the syntax, which is used in my Code example is completely different from the syntax in the official keras docs…

My question would be if there was a significant change in the last years of writing python code with keras? And if the answer is yes, does it still make sense to work with the older syntax?

submitted by /u/LeiseLeo
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Annoying behavior of developers not keeping reverse compatibility

Hi, I’m a new student trying to learn Tensorflow. I have already found some really good books and tutorials which helps me learn this fast. But when I started trying out the examples given I soon realized that all the good tutorials that I have are discussing about Tensorflow 1.15 and amazingly these codes will not work with tensorflow 2.0+.

I really find this cool and amazing behavior from the devolpers who have zero concern about reverse-compatibility. I can go to Google and fix the old code line by line, replacing each with the Tensorflow2 equivalent.

But since I’m a beginner, this is a nightmare for me. Can anyone explain to me in simple terms why these douchebags does not maintain reverse compatibility when these airheads update these libraries?

I really want to find the developers who did this and dip their face in boiling oil.

P.s: when is Tensorflow3 coming out? I’m now trying to learn Tensorflow2, i assume that Tensorflow3 will be completely different from Tensorflow2 and we would have to re-learn everything from scratch in that too.

submitted by /u/Dgreenfox
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Misc

Latest Releases and Resources: March 3-9

Register for the Game Developer Conference; join DRIVE Developer Days; get DLI training at GTC; learn how Metropolis can grow your vision AI business; meet the Shell.AI Hackathon winners.

Our weekly roundup covers the most recent software updates, learning resources, events, and notable news. 


Events

NVIDIA at GDC: Advancing Innovations for Virtual Worlds in Game Development

At the Game Developer Conference, attendees will experience how the latest NVIDIA-powered solutions are enabling developers to create more realistic, immersive virtual worlds for players.

Register online: NVIDIA at GDC

Learning resources

Accelerate Autonomous Vehicle Development with DRIVE Developer Days at GTC

NVIDIA DRIVE Developer Days are March 22-23 and feature deep-dive sessions on safe and robust autonomous vehicle development. This special event showcases the latest innovations in autonomous driving and software-defined vehicle architectures. Special sessions led by the NVIDIA engineering team highlight the newest DRIVE solutions. Attendees will learn how to apply these technologies to their own autonomous vehicle development and have the opportunity to chat with engineers.

This virtual content is available to all GTC attendees and will be available on demand after the event.

Register online: DRIVE Developer Days

Hands-On DLI Training Labs Available at GTC 

Choose from 24 training labs taught by technical experts covering HPC, networking, deep learning, data science, conversational AI, computer vision, and more.

Register online: DLI Training Labs at GTC

Learn How Metropolis Can Boost Your Go-to-Market Efforts​

Tune in to this meetup replay and find out how the Metropolis program can grow your vision AI business and enhance go-to-market efforts​.

Learn how:

  • Metropolis Validation Labs optimize your applications and accelerate deployments.
  • NVIDIA Fleet Command simplifies provisioning and management of edge deployments accelerating the time to scale from POC to production.
  • NVIDIA Launchpad provides easy access to GPU instances for faster POCs and customer trial

Get started: Learn How Metropolis Can Boost Your Go-to-Market Efforts​ 

News

Meet the Winners of the Shell.AI Hackathon for Renewable and Sustainable Energy

Tackling climate change is an urgent challenge worldwide. Developing and delivering renewable energy sources is critical. To explore new opportunities for low-carbon energy, Shell collaborated with NVIDIA, OpenACC, and Microsoft, with support from SINE and NIRMAAN to launch the AI Solar Power Prediction Challenge. 

In this multi-stage hackathon, participants used historical sky camera images and weather data to predict cloud coverage cast over solar farms in Stage 1 and predict Global Horizontal Irradiance for any two-hour interval of the day. More than 2000 participants across 50+ countries rose to the challenge and over 6200 submissions were received. Selected Hackathon winners provided inspired solutions that were accurate, innovative and scalable, putting their passion to purpose to advance renewable and sustainable energy.

Meet the winners: Shell.AI Hackathon for Renewable and Sustainable Energy

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Misc

GFN Thursday Marches Forward With 21 Games Coming to GeForce NOW This Month

A new month means a whole new set of games coming to GeForce NOW. Members can look forward to 21 titles joining the GeForce NOW library in March, including day-and-date releases like Shadow Warrior 3, with support for NVIDIA DLSS. Bring a Katana to a Gunfight Shoot, slash and slide into Shadow Warrior 3, new Read article >

The post GFN Thursday Marches Forward With 21 Games Coming to GeForce NOW This Month appeared first on NVIDIA Blog.

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Misc

Im i doing this wrong? need to know so i dont waste 1h+ hrs

Im i doing this wrong? need to know so i dont waste 1h+ hrs

submitted by /u/SpencyDotRed
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Tensorflow Lite on RPI

I am trying to run a tensorflow lite model in my RPI (3B+) and is following this blog post that I found on this sub

https://blog.paperspace.com/tensorflow-lite-raspberry-pi/

The article is fairly old so I have the lastest version of python and tflite-runtime compared the mentioned versions on the blog.

The blog used a MobileNetV1 while I used my own model which made use of MobileNetV2.

I copied the code for now and changed the directories to match my local.

The code does not have error or warnings but I always get the first item on my text file, and an accuracy of 0.0%.

What could be the issue here?

submitted by /u/clareeenceee
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Reason for receiving KeyError: ‘[…] not in index’ while using tensorflow.compat.v1 to train and build a standard DNN model?

submitted by /u/professorDissociate
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Obtaining information from text

Hello, I am a newbie and I have done some research before asking my question which leads me to confusion about what to use for my case. Simple definiton of my problem is, I have an input which consists of 5-6 sentences at max. In these sentences I have to obtain values of some terms. For example, sometimes the input is:

-” … Pg = 250 kN …”

-” …. dead load is 250 kN …”

-” …dead load on the system is given as 250 kN.” .

And this is not the only term to obtain, I have some more terms which could be symbolised with more than one way. I have read about the named entity recognition, rule based matcher, bi-directional lstm etc. but now I am lost and don’t know what to do and which method to use. I need someone to show me the correct way , and after that I can work on that topic and solve this problem. Any help much appreciated.

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Implementing ONNX models in Rails

Implementing ONNX models in Rails submitted by /u/Kagermanov
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Misc

Beyond Be-leaf: Immersive 3D Experience Transports Audiences to Natural Worlds With Augmented Reality

Imagine walking through the bustling streets of London’s Piccadilly Circus, when suddenly you’re in a tropical rainforest, surrounded by vibrant flowers and dancing butterflies. That’s what audiences will see in the virtual world of The Green Planet AR Experience, an interactive, augmented reality experience that blends physical and digital worlds to connect people with nature. Read article >

The post Beyond Be-leaf: Immersive 3D Experience Transports Audiences to Natural Worlds With Augmented Reality appeared first on NVIDIA Blog.