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.

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    In my current code, i am using a simple FCN. i now want to replace that with ResNet

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    I need the machine learning expert for object detection. Details will be shared with winning bidder.

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    Object detection 5 días left

    I need the machine learning expert for object detection. Details will be shared with winning bidder.

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    Socket Programming P2P Python -- 3 5 días left
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    Socket Programming P2P Python.....

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    My dissertation topic is to use machine learning on UAV/ drone camera images to perform object detection. I have selected EfficientDet algorithm to perform the task however I want to improve the accuracy of small objects detected in an image as all UAV/drone images are from top view and objects are tiny. I want to use some techniques that I have researched, in the classification part, to improve...

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    1. Preprocessing of LiDAR data 2. Implementation of VAE

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    Hello I am trying to train the model on a couple hundred megabytes of fine-tuning data using v3-8 tpus on Google Cloud. I got some error RuntimeError: Internal: Replica group has size 8, but all replica groups in an all-to-all with N operands must have size N: I need expert's help Thanks

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    2 part work 1st part install these softwares [iniciar sesión para ver URL] [iniciar sesión para ver URL] [iniciar sesión para ver URL]~xtag/spinal/[iniciar sesión para ver URL] 2nd part: Teach , how these products work

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    machine learning with brain GNN 2 días left
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    I need to first compile a exist machine learning code in google co-lab, and then replace their data and try my own data on their model. [iniciar sesión para ver URL]

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    Hello. I am finding Python developer now. If you are only expert, bid here. thanks

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    i have a pytoch model detection, that detects an actions, i want to generate a report and send it via email as csv format the model have 8 classes ,and i want to detec the time for each action and i have UI to attach it to it

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