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.Angajează Pytorch Experts
Have a pretrained model in ONNX (EFFICIENT NET B7), Need to convert it to keras and then [conectează-te pentru a consulta linkul URL] (have the checkpoint and code to load it in onnx). Facing a conversion error
Hi I need someone who is good with deep learning models, especially Pytorch. Need to fix the code as per my dataset. You need to work on my private repo. SO GIT knowledge is a must. Need to finish this in 2-3 days if possible. You don't need to train just fix the code. I can train and test if you need me. I want good accuracy for the model. I want the code should perfectly train after your fi...
I have a GAN Machine Learning model that receives an image as an input and returns an enhanced image. All the code is ready(including the network) for production. I want you to deploy it on the cloud specifically Azure Machine Learning Cloud.
I have a VS2017 C++ project, which converted from runnable python codes. It is supposed to predict the direction of arrival of sound via several microphone audio files, and now I need someone to fix bugs to make the project running successfully and correctly. As shown in the attached is the the first problem I meet: mic_signals should be a 15xL tensor, however, now it's a Lx1 tensor. What...