Find similar content

Source channel @cryptosamuraicat · Post #708 · Feb 17

☄️TIME TON - TIME CITY! 🏙️ TimeCity opens its doors! 📆 On February 19, a new digital era begins. The TimeTON community will gain access to the metaverse for the first time, where each object is your future digital asset that generates income and resources. 🗣️ A collection of 5,728 NFTs is the basis of a virtual city that will grow, develop and form a full-fledged digital ecosystem. 🏘 Residential complexes are being built here, where the first residents will settle, business centers and manufacturing enterprises are opening, which will become the heart of the economy. Trading platforms and entertainment areas appear, creating the rhythm of city life. Digital advertising screens light up on the streets, where location owners receive a share of the global advertising market. 👨🏻‍💻 Every user of our community will have access to the first version of the metaverse to watch the construction of the city in real time, explore the first districts and become part of a closed community of NFT owners, where the most valuable opportunities are revealed. 💥 There is very little left… 🔖If you decide to buy NFT - be careful, think twice, you don’t know how it will turn out.#dyor ➡️START GAME 🐱🐱🐱🐱🐱🐱🐱🐱 👉🏻SUBSCRIBE!

Hashtags

#dyor

Results

1 similar post found

Search: #tfdeploy

当前筛选 #tfdeploy清除筛选

djangoproject

@djangoproject · Post #274 · 03/18/2017, 01:48 AM

Find similar View

https://github.com/riga/tfdeploy Google's TensorFlow framework is taking off big-time now that it's at a full 1.0 release. One common question about it: How can I make use of the models I train in TensorFlow without using TensorFlow itself? #Tfdeploy is a partial answer to that question. It exports a trained TensorFlow model to "a simple #NumPy-based callable," meaning the model can be used in Python with Tfdeploy and the the NumPy math-and-stats library as the only dependencies. Most of the operations you can perform in TensorFlow can also be performed in Tfdeploy, and you can extend the behaviors of the library by way of standard Python metaphors (such as overloading a class). Now the bad news: Tfdeploy doesn't support GPU acceleration, if only because NumPy doesn't do that. Tfdeploy's creator suggests using the gNumPy project as a possible replacement. #Machine_learning

Hashtags

#tfdeploy #numpy #machine_learning