Open Source tools are an excellent choice for getting started with Machine learning. This article covers some of the top ML frameworks and tools.
Keras is an open source neural network library that is written in the Python language. It should be noted that it is capable of running on top of other frameworks/software libraries, such as Microsoft Cognitive Toolkit, TensorFlow, and Theano. For those who don’t know, a neural network is actually a computing system that is meant to imitate the neural activity of animal brains, and is a collection of nodes called “artificial neurons”.
Keras as a neural network helps to optimize a lot of functions, and is used to make working with image and text data infinitely easier. This could help to improve productivity for countless platforms and companies who work with data. It is a tool that caters to the recent technological trend of deep learning, where companies are using AI to optimize their companies and find out more information about their consumer base, such as predictive trends or overall consumer trends.
Keras has over 200,000 users already, and was recently the 10th most cited tool in the 2018 Nuggets 2018 software poll, which indicates that it is rising in popularity and relevancy in the tech sector. It ultimately helps many companies experiment faster with certain processes, as well.Ansett Keras Specialists
This project includes use of computer vision and deep learning. I need to train a semi-supervised model for predicting the depth map of an image. The instructions can be followed from a published paper. What needs to be implemented can be accessed form here. [logg inn for å se URL] The repo contains the code for inference but does not contain the training code. I want you to write the trai...
This project includes use of computer vision and deep learning. I need to train a semi-supervised model for predicting the depth map of an image. The instructions can be followed from a published paper.
We are looking for a skilled Python developer with previous exposure to machine learning frameworks such as Tensorflow, Keras, Scikit or others. The project consists of the development of a Python based library for machine learning model optimisation. Specifically, the ability to compress a given model reducing its memory footprint (size) and speed up inference time (speed). The library will pro...
I have 10 videos for night and day. Detecting object(car and truck) in day and night, counting vehicles according to direction, detecting speed with YOLO-V3 and outputting with CSV file. Now detecting is completed for night. You have to prepare a training data set for day's env and integrate to weight file. I will share more details in chat.