Keras Jobs
Keras is a powerful, open-source neural network library that helps make it easier to develop and use deep learning models. By employing Keras, a Keras Specialist can quickly and easily bring a client’s vision to life and help their organization keep up with current trends in the industry.
SERVICES A KERAS SPECIALIST CAN PERFORM:
- Design, train, and deploy a deep learning model
- Develop unsupervised learning models
- Create Convolutional Neural Networks (CNNs)
- Use Python codes in retrieving datasets
It’s no wonder that many clients turn to Freelancer.com for help when looking for experienced Keras Specialists.
Here are some projects that our expert Keras Specialist made real:
- Making unique solutions on Computer Vision projects with convolutional neural networks (CNNs)
- Generating reliable predictions from data using deep learning networks
- Enhancing the accuracy of Natural Language Processing (NLP) models
- Utilizing Artificial Neural Networks (ANNs) for quality pattern recognition
- Harnessing generative models for experiments or production tasks
In conclusion, hiring an experienced Keras Specialist can open many doors to the opportunities afforded by artificial intelligence and its related technologies. Whether you need to create predictive models, complex algorithms or any other type of programs, the qualified staff here on Freelancer.com has the skill sets necessary to make your dream project come true. We invite aspiring clients to post a job profile to hire an expert Keras specialist today on Freelancer.com!
Da 3,683 valutazioni, i clienti danno una valutazione ai nostri Keras Specialists di 4.78 stelle su 5Assumi Keras Specialists
Objective: We are seeking an individual or company skilled in neural networks and Keras to develop a predictive model. This model will forecast the occurrence of a phenomenon based on historical data. Requirements: Data Acquisition: Historical data required for training the model will be fetched via an API from our comprehensive database, which is updated multiple times weekly. Data Processing: All retrieved data will be processed to facilitate effective model training. This includes Exploratory Data Analysis (EDA) to identify impactful data, outlier detection for data quality, and feature engineering to determine the final model inputs. Model Development: Train two types of models using Deep Neural Network (DNN) and Long Short-Term Memory (LSTM) architectures: A classification model to ...