Web: https://towardsdatascience.com/an-intuitive-approach-to-understading-of-lstms-and-grus-c2191611a37d?source=rss----7f60cf5620c9---4

Sept. 14, 2022, 2:16 p.m. | Essam Wisam

Towards Data Science - Medium towardsdatascience.com

We will proceed to prove that LSTMs & GRU are easier than you thought

Although RNNs might be what first cross your mind when you hear about natural language processing or sequence models, most success in the field is not attributed to them but rather (and for a long time) to an improved version of the RNN that solves its vanishing gradient problem. In particular, an LSTM (Long Short-term Memory) network or less often, a GRU (Gated Recurrent Unit) network. …

gru lstm nlp recipe recurrent neural network understanding

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Research Engineer - VFX, Neural Compositing

@ Flawless | Los Angeles, California, United States

[Job-TB] Senior Data Engineer

@ CI&T | Brazil

Data Analytics Engineer

@ The Fork | Paris, France