Machine Translation With Sequence To Sequence Models And Dot Attention Mechanism
In this article, you will learn how to create a machine translator using NLP with the Keras TensorFlow framework using a recurrent neural networks.
Introduction to Autonomous Vehicle Theory
Autonomous vehicles are on of the most exciting, up-and-coming applications of deep learning to hit the public. In this guide, you will learn about the theory behind these vehicles and the relevant ML tools leveraged to make them work.
Combining Multiple Features and Multiple Outputs Using Keras Functional API
Article on building a Deep Learning Model that takes text and numerical inputs and returns Regression and Classification outputs.
Building Your First NLP Application to Detect SPAM
Despite the complexity of human language, NLP teaches us techniques to break language down semantically and syntactically. In this tutorial, you'll gain an understanding of introductory NLP concepts and then build your first NLP application to detect SPAM in text messages!
End-to-End Recommender System with Gradient - Part 6: Conclusion and Next Steps
In this final part of the six-part series, we recap the main points from the series, and point to next steps, both for this work in terms of other things that Gradient can do, and for the reader who would like to learn more.
End-to-End Recommender System with Gradient - Part 5: Deploying the Model into Production
In the fifth part of this six-part series, we will show how to deploy the model using Gradient Workflows and its integration with TensorFlow Serving.
End-to-End Recommender System with Gradient - Part 4: Tuning the Model for Best Performance
In the fourth part of this six-part series, we will improve the result from the model in Part 3 by tuning some of its hyperparameters and demonstrate how the training process can be done in Gradient Workflows.