I am looking for a programmer machine learning, tensorflow
need to make a model for question answering generation using deep learning , tensorflow , pytorch,wikipedia data for data training, only experienced freelancers will be considered for work , you need to show your related experience in past like stuff in proposal .
to track multiple objects on moving or static camera.
I would like a php application that incrementally builds neural net architectures, trains them, and compares new architectures to old ones. I envision a program that begins with a neural net of 2 neurons, one input and one output neuron. The input neuron is tied to a random piece of data (say temperature over time) as is the output neuron (say amount of rainfall). The application would do the...
I need to get a trained model with higher accuracy and performance, needed to detect 3 finger gestures , person , up-staircase and down staircase the data set of images around 300 available with me. caffemodel or darkflow model prefered.
API required to communicate Raspberry pi based Tensorflow vision application to Arduino motor control slave. We wish to train moving away and towards detected objects. Budget is $100
I have implemented the code that required to extract the features "aspects" from the online reviews. the method that I have implemented is the Stick-breaking Process on the Latent Dirichlet allocation to extract the aspects"features" from the online reviews, But the problem is that while executing the algorithm, digital values are produced rather than "words" or featu...
Create a boilerplate project (a working demo) of an integration between: - Expo ([login to view URL]) - Firebase MLKit ([login to view URL]) or; TensorflowJS ([login to view URL]) - Loading of a remote (custom) model ML model ([login to view URL]) Criteria for the solution are: - should be a runnable Expo project, which has not been detached/ejected (i.e. not ExpoKit) - does on-device OCR (text...
need a data mining and machine learning expert in python
In the CIFAR-100 dataset, use Keras to do multi-task and multi-label classification. Use the ImageDataGenerator and flow_from_directory method. Images are arranged in folders where the folders have multi-labels--concatenations of superclasses and classes. The Keras CNN model has a single image batch input and two outputs: the prediction of the superclass and class.
build analytic model for industrial DCS historical (Big data) by using machine learning.
i want some freelancers to implement four data mining algorithms for two concepts in R langauge. the attachment is one of the concepts. i need someone to work on the implementing the exact content in the document.