Machine Learning Tutorials TensorFlow Data Input (Part 1): Placeholders, Protobufs & Queues April 25, 2016 by adamdev TensorFlow is a great new deep learning framework provided by the team at Google Brain. It supports the symbolic construction of functions (similar to Theano) to perform some computation, generally a neural network based model. Unlike Theano, TensorFlow supports a number of ways to feed data into your machine learning model. The processes of getting […] Read more Ā»
Machine Learning Sequence Modeling with Neural Networks (Part 2): Attention Models April 18, 2016 / October 9, 2025 by adamdev Welcome back to our two part series on sequence to sequence models. In the previous post we saw how language models and sequence to sequence models can be used to handle data that varies over time. In this post, we will see how an attention mechanism can be added to the sequence to sequence model […] Read more Ā»
Machine Learning Sequence Modeling With Neural Networks (Part 1): Language & Seq2Seq April 11, 2016 / October 9, 2025 by adamdev This blog post is the first in a two part series covering sequence modeling using neural networks. Sequence to sequence problems address areas such as machine translation, where an input sequence in one language is converted into a sequence in another language. In this post we will learn the foundations behind sequence to sequence models […] Read more Ā»
Developers Text Data Use Case Tutorials Tutorial: Using indico’s Machine Learning API (for Beginners) April 5, 2016 by adamdev About this Tutorial This tutorial assumes you have no programming experience and do not have a development environment. It will guide you through setting up a development environment and producing the code to access advanced machine learning solutions. If you run into any issues while following this tutorial, please feel free to create an issue […] Read more Ā» beginner linux machine learning osx Python ubuntu windows
