56 min

Long Short-Term Memory (LSTM) - Sepp Hochreiter | Podcast #76 The Engineered-Mind Podcast | Engineering, AI & Technology

    • Education

Sepp Hochreiter is heading the Institute for Machine Learning, the LIT AI Lab and the AUDI.JKU deep learning center at the Johannes Kepler University of Linz in Austria and is director of the Institute of Advanced Research in Artificial Intelligence (IARAI).Sepp Hochreiter is a pioneer of Deep Learning.   

His contributions to the Long Short-Term Memory (LSTM) and the analysis of the vanishing gradient are viewed as milestones and key-moments of the history of both machine learning and Deep Learning. Sepp laid the foundations for Deep Learning in two ways. Dr. Hochreiter’s seminal works on the vanishing gradient and the Long Short-Term Memory (LSTM) were the starting points for what became later known as Deep Learning.   

LSTM has been overwhelmingly successful in handwriting recognition, generation of writings, language modeling and identification, automatic language translation, speech recognition, analysis of audio data, as well as analysis, annotation, and description of video data.

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👉 Science Academy: academy.jousefmurad.com

🌎 Website: http://jousefmurad.com/

📥 Weekly free science insights newsletter: jousef.substack.com

🐤 Follow me on Twitter: @jousefm2

📷 Follow me on Instagram: @jousefmrd

Sepp Hochreiter is heading the Institute for Machine Learning, the LIT AI Lab and the AUDI.JKU deep learning center at the Johannes Kepler University of Linz in Austria and is director of the Institute of Advanced Research in Artificial Intelligence (IARAI).Sepp Hochreiter is a pioneer of Deep Learning.   

His contributions to the Long Short-Term Memory (LSTM) and the analysis of the vanishing gradient are viewed as milestones and key-moments of the history of both machine learning and Deep Learning. Sepp laid the foundations for Deep Learning in two ways. Dr. Hochreiter’s seminal works on the vanishing gradient and the Long Short-Term Memory (LSTM) were the starting points for what became later known as Deep Learning.   

LSTM has been overwhelmingly successful in handwriting recognition, generation of writings, language modeling and identification, automatic language translation, speech recognition, analysis of audio data, as well as analysis, annotation, and description of video data.

—————————————————————————————

👉 Science Academy: academy.jousefmurad.com

🌎 Website: http://jousefmurad.com/

📥 Weekly free science insights newsletter: jousef.substack.com

🐤 Follow me on Twitter: @jousefm2

📷 Follow me on Instagram: @jousefmrd

56 min

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