Here is the list of top 6 paid skills in Information Technology that you should know about.
TensorFlow is an open-source, python-friendly library used for high-performance numerical computation that makes machine learning easier and faster. It replaced “DistBelief,” its closed-source predecessor.
TensorFlow has a flexible architecture which enables an easy deployment of numerical computation across several platforms – TPUs, GPUs, CPUs; from desktops to collections of servers to edge and mobile devices.
It was initially created by engineers and researchers from the Google Brain team for both research and production. It comes with a strong support for deep learning and machine learning for dataflow programming across varieties of tasks.
When it comes to the application of TensorFlow, it is being used by social media companies for photo tagging; image analysis for microscopy; retail stores use it for object detection during checkout; space exploration, automotive, aviation, and healthcare also use it for image and object recognition.Hire Tensorflow Developers
I would like a multi-class [login to view URL] tutorial, at first with the most basic concepts and increasing the level with each class, begining with a level basic and finishing with more advanced concepts, to learn [login to view URL] to do Machine Learning with Java Script. The minim total duration of the videocourse with all of classes is 30 minutes.
I need a person who can implement speech emotion recognition for a given dataset. He/She should use google CoLab and Capsule Network (Deep Learning) model and BiLSTM.
Ideally you should have experience with a similar project and deep knowledge of neural networks, tensorflow, keras.
Hi there! We are looking for a data scientist freelancer to develop an outlier/anomaly/novelty detection model. We'll provide a significant dataset of not labeled data hence the use of unsupervised techniques is a must. The acceptance criteria will be the following: - As it has been metioned, unsupervised methods are a must for the detection - We expect that the outliers founded by the model ...
I need someone to come up with Some sort of python solution for converting data from a MERA tensor network into a 2D visualization similar to the attached file. For a final deliverable. Some sort of python code that I can add to my qiskit code that will display the hyperbolic plane version of the MERA tensor network find some way to put relevant visualization data about the MERA on this diagr...
An application where user is asked to read a paragraph and upon reading the text is highlighted simultaneously. At the end of paragraph voice sample is collected and stored in a relational db. An analysis is preformed on the voice sample to determine age and gender.
project to auto detect purchases grocery items and add it to cart which require to train the system on huge number of grocery items using AI and Deep learning with Faster CNN methods and others
We're paying USD$5 per article published on Towards Data Science that is about Synthetic Data Generation using [login to view URL] library. You get the blog post on your name and you get the money.
Hello everyone! Looking for a very skilled candidate to help me writing a code and guiding me with this project. In my project, I need to build a model based in sets of image folders, and prepare/convert the model into Tensor Flow lite. My ultimate goal, is to use this model to recognize (and track) objects (tennis balls [x,y,w,h] ) in python. I will be using raspberry pi 4+ and Raspbian installed...
We are looking for someone familiar with [login to view URL] and understand Bitcoin and cryptocurrencies. This is an ongoing job where you will work with a team leader to perform tasks as requested. Tasks will include collection of data, preprocessing as well as trading indicator processing and displaying data in d3.js graphs. We require someone familiar with Deep Q Learning as well as LSTMs ...