Member-only story
Day 45: 60 days of Data Science and Machine Learning Series
Recurrent Neural Network…
Welcome back peeps. In this post we are going to learn the basics of Recurrent Neural Networks through a project.
Recurrent Neural Network, created in the 1980’s, is a state of the art algorithm for dealing with sequential data by using internal memory to remember important things about the input RNN’s received to precisely predict what’s coming next. RNN’s are popularly used in language translation, natural language processing (nlp), speech recognition, captioning etc.
How Real World Scalable Systems are Build — 200+ System Design Case Studies:
System Design Den : Must Know System Design Case Studies
[System Design Tech Case Study Pulse #12] 8+ Billion Daily Views: How Facebook’s Live Video Ranking Algorithm Processes Daily Views Using Storm and Memcache
[System Design Tech Case Study Pulse #18] Tinder 1.5 Billion Swipes per Day : How Tinder Real Time Matching Actually Works
[System Design Tech Case Study Pulse #17] How Discord’s Real-Time Chat Scales to 200+ Million Users
