The Rectified Linear Unit is the most commonly used activation function in deep learning models. The function returns 0 if it receives any negative input, but for any positive value x it returns that value back. So it can be written as f(x)=max(0,x) .
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Neural Network Embeddings Explained – Towards Data Science
Applications of neural networks have expanded significantly in recent years from image segmentation to natural language processing to time-series forecasting. One notably successful use of deep learning is embedding, a method used to represent discrete variables as continuous vectors. This technique has found practical applications with word embeddings for machine translation and entity embeddings for categorical variables.
Learning Less to Learn Better — Dropout in (Deep) Machine learning
farizrahman4u/seq2seq: Sequence to Sequence Learning with Keras
Seq2Seq contains modular and reusable layers that you can use to build your own seq2seq models as well as built-in models that work out of the box. Seq2Seq models can be compiled as they are or added as layers to a bigger model. Every Seq2Seq model has 2 primary layers : the encoder and the decoder. Generally, the encoder encodes the input sequence to an internal representation called ‘context vector’ which is used by the decoder to generate the output sequence.
kepler.gl/j-get-started.md at get-started · uber/kepler.gl
Kepler.gl is a tool designed for geospatial data analysis. This guide will help you get started creating visualizations in
CPSC 540: Machine learning
Great resources for learning machine learning from a UBC professor
Decision Intelligence with Cassie Kozyrkov: GCPPodcast 128 – YouTube
Chief Decision Scientist, Cassie Kozyrkov joins Mark and Melanie this week to explains what is data science, analytics, machine learning and statistical inference is, in relation to decision intelligence.
Prediction intervals for Random Forests | Diving into data
. A prediction of 0.5 could mean that we have learned very little about a given instance, due to observing no or only a few data points about it. Or it could be that we have a lot of data, and the response is fundamentally uncertain, like flipping a coin.
Google to invest $550 million in China e-commerce giant JD.com as it battles rivals | The Japan Times
Google will invest $550 million in Chinese e-commerce powerhouse JD.com, part of the U.S. internet giant’s efforts to expand its presence in fast-growing Asian markets and battle rivals including Amazon.com.
Communico – Fostering “Googleyness” in your Organization: Five Key Factors for Success
Aside from their renowned perks like sushi, salads and massages, the organization makes sure its associates feel heard and challenged.
