Pytorch Jobs
Python is a high-level general purpose programming language, and its open source machine learning library is called Pytorch. It is currently being utilized by two of the tech sector’s most valuable companies, Facebook and Uber, who utilize it for different reasons. It is considered one of the most important tools in artificial intelligence today. It provides two main features, which include tensor computation, in addition to deep neural networks. The language is also known for utilizing a technique called automatic differentiation, which allows for rapid machine learning.
One of the most important aspects for automation and the internet of things is the idea of natural language processing, which allows human beings to interact with devices through voice. Human beings understand that the more that computers understand human languages, the more that automation can occur, not to mention real-world applications, such as language translation and transcription.
Pytorch is one of the most important libraries related to machine learning and deep learning, that is already being used by multiple Fortune 500 companies. Its relevancy will only increase the more that we move towards using artificial intelligence in everyday technology, and Pytorch can be a tool that can optimize countless companies exponentially.
Hire Pytorch Expertsconvert a json format to another format
I need a programmer who is experienced in implementing CUDA Tensorflow/Keras codes. My current code only uses 10 to 20% of the GPU / CPU. I need the programmer to enhance my current code and create two versions of the code by introducing: 1) Multi Thread CPU Version: Multi Thread CPU execution using Keras/Tensorflow or Pytorch. I expect the coder's version of the code to use 100% of the CP...
build a tensorflow ssd model for objects detection
help in training tensorflow ssd model
For a given physical product, we want to be able to predict which component will fail on the product and when. All products have the same attributes, e.g. product code, date of manufacture, quantity of uses, along with history of component names, component failure, component failure severity and component failure date. For the physical product, we also have the component failure history. The da...
