Run algorithms and train model - Deep Learning, AI, Machine Vision

Hi, I have spend a lot of years in developing ML modeling, DL, Image synthesis and fine-tuning. I have good amount of resources for. training models. I. have gone through PDF and pretty confident that I can implement Adversarial NN.

Hi I am interested in your project. Done many of these can deliver in one day. Please do contact if interested. Thanks Dr. Anil Bhatia Ph.D(CS/AI), MCA

Hey, Note: I come across your link and job description, No issue I'll set up model and train data... I'm a Masters Student in Machine Learning with extensive experience in Deep Learning, NLP, Speech Recognition and Text-to-Speech (TTS). I also have 4 years of full-time work experience as an ML Engineer. My current research work is on Adversarial training of End-to-End Speech Recognition. I am a problem solver and I believe in providing complete solutions. If you have a project in mind and you don't even know where to start, then you've come to the right person. I also have a vast knowledge of Statistical Learning like categorical data analysis, Bayesian statistics, decision trees, cluster analysis, and predictive modelling. I have also managed live production environments on AWS. ML frameworks: Tensorflow, PyTorch, Keras, Chainer, Theano, Apache Spark Python frameworks: numpy, pandas, scikit etc. Programming Languages: Python, SQL I'm flexible with my working hours and am happy to work closely with any existing freelancers you work with. You can expect prompt, polite and helpful communication from me. I look forward to hearing from you! Kind regards, Himanshu

I am an experienced in computer vision, I have worked for a lot of projects with Deep Learning (face recognition, pedestrian detection, object recognition). If you would like to collaborate feel free to contact me at any time

I have experience in computer vision and deep learning, I will finish this task and deliver your model within 10 days, please chat to discuss more

Computer vision professional with 2 years of experience , done several projects on Image Processing, Object detection and Image Classifier using Tensor flow, Opencv and keras. Please refer to the portfolio.

Hey , I came across your link and details. Since , I am a beginner in this field jus completed my graduation . But I am doing ML projects from the last two years. It takes few days to complete it . So , If I get this , I will be helpful to you that you given me the opportunity to learn and work in this project. And bid is negotiable. With Regards Abhijit

Hey, I am a machine learning engineer. In my current organization, I have been leading a project called interview video analysis, where my models analyze behavioral traits, micro-expression, gestures, and emotions. I have good enough expertise in computer vision to implement your model. Thanks, Shabaz

Hello, I come across your link and job description, No issue I can set up model and train data.. . I'm a Machine Learning Engineer with extensive experience in Deep Learning, NLP, Speech Recognition and Text-to-Speech (TTS). I also have 4 years of full-time work experience as an ML Engineer. My current research work is on Adversarial training of End-to-End Speech Recognition. I am a problem solver and I believe in providing complete solutions. If you have a project in mind and you don't even know where to start, then you've come to the right person. I also have a vast knowledge of Statistical Learning like categorical data analysis, Bayesian statistics, decision trees, cluster analysis, and predictive modelling. I have also managed live production environments on AWS. ML frameworks: Tensorflow, PyTorch, Keras, Chainer, Theano, Apache Spark Python frameworks: numpy, pandas, scikit etc. Programming Languages: Python, SQL I'm flexible with my working hours and am happy to work closely with any existing freelancers you work with. You can expect prompt, polite and helpful communication from me. I look forward to hearing from you! Kind regards,

We do it everyday. the process of pres -processinf,identifying images, classification, labeling is pretty standardized at our end. Lets schedule a time to discuss and take it forward.