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Hi, I am working on an article and need to simulate it. I have almost done this, but an error occurs during the execution of the program that I don't know how to fix. What I want is to fix this error and extract the output of the program which is the figures listed in the article. Please read the article first and see the written code, both of which are attached, before sending me a message. Message me if you are sure you can do it. The price is fixed at 30 Euro and will not be increased in any way. Thanks Hossein
I need a mechanic learning expert who will write short document about my code
I need to build a mental health application chat bot that converses with user and uses deep learning to classify the mental health of a particular user and suggests video links based on the emotion for their well being.
Urgent project--- need Datasets for social media images(twitter,instagram,facebook) that related with users and the datasets must contain the user data like id,profile image , the gender of the user, location of the user and the time of published image.
### must have past experience with NLP & image classification model using Deeplearning / legacy algos Model to classify an image with text (20-200 words each) to large set of texts as labels (3-20 words each). Final label set could be as large as 300K points hence require both image features & the text within the image for classification. Giving final top 5 outputs based on probability for each image.
I need a deep learning expert please bided if you are expert on deep learning
I need a function to accept a model and an image . Then return a vector from a layer that I specify in the function. Budget is 15CAD max. Make your mind before request a chat. Do not waste my time by asking "What is you budget?" Answer is 15CAD.
To make changes to the existing model given in the attached paper or to create a new model from scratch which induces multilingual word embeddings using adversarial settings (GANs etc).
Write a python algorithm which verifies the given results. json files , all mandatory attributes are filled and the set values are matching to the listed possibilities in schema .json file . If you find any error in results .json file, write it out to a file(txt or csv) if you find no error for a file , save the transformed version of the result .json file content in the given format () Visualise the objects given in the result files on the corresponding images .(using opencv) input files : schema .json: the possible categories with the corresponding attributes (and possible values ) and shapes result .json : the files to verify based on :required for the result .json files, where no error found rest will be discussed and files will be given .
I want to hire someone that can me some a machine learning algorithm that can learn from the final results and apply those results on the input image. These changes are mostly in basic editing, reducing brightness etc
The project is about camera relocalization : I need someone who can implement the following Deep learning architecture on my dataset : PatchNetvlad + R2D2 Hloc Model FDANET model Netvlad + R2D2 Paper related to netvlad : Patch-NetVLAD paper : R2D2 paper : Hloc code: FDANET code and paper :
Hi I am using yolov4-tiny for people detection in videos and Would like to implement my code to convert from 2D to 3D to get better visualization and eliminating perspective view Herein the image
DataForce is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We are looking for a highly motivated, native Cantonese speaker with programming skills for an exciting fixed-term assignment to contribute to the development of language technologies. The ideal candidate is one who: is based in Beijing(We Provide relocation support if needed) has with a high sensibility for foreign languages and cultures has experience in and passion for working with language data and the ability to help create, categorize, audit, and improve lexical data has experience developing natural language processing code and is able to: provide input and suggestions towards innov...
deep learning, artificial intelligence to recognise voice from 30 seconds of audio and regenerate the same voice, same accent, same pitch and same audio quality to fit into statements in existing audio files. 2 voice samples will be provided. written text must be converted into perfectly same voice and save the file.