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!De 4,318 opiniones, los clientes califican nuestro Keras Specialists 4.84 de un total de 5 estrellas.
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I want to create desktop app. which should take the input from camera, with start and end button, and then it should create video analysis of the cricket ball. Analysis includes. the speed of the ball, detection of the ball , show trajectory path of the ball &. then shows the trajectory path representation in graphical form in 360 degree
My project is to add new custom dataset to the original one Incrementally. For example, I want to add new class while preserving other classes from previous model. The output will be a new class with the original one. To be clear, I have two classes named ( permanent teeth, primary teeth, and filling). Model 1 trained on PERM dataset ( single class) Model 2 used pre-trained from model 1 to train new class (PRIM dataset). The output should be ( two classes, PERM & PRIM). Model 3 used pre-trained from model 2 to train new class ( filling). The output after this model should be 3 classes and so on. I want to tackle the problem of catastrophic forgetting. Requirements: 1. Using Mask RCNN or U-Net versions ( TF & Keras) 2. Applied the continual learning approach similar to the atta...
Have a project of CNN for for lung Dataset available in kaggle. I am travelling so won't be available often. Need a f1 score of 90+. Only if you have experience implementing CNN image dataset with optimization and ready to start soon then bid thanks. Need to try resnet152, inceptionnet, Vgg and combinations stacking layers. Will pay a bonus if implemented within a day. Since it's a commonly used data you don't need to start from scratch below notebook and others in kaggle will have eda, preprocessing n all. No extra amount other than quote and bonus will be given. Link for data n reference: Timeline:1-2 days