Long Short-Term Memory - LSTM Models with TensorFlow
MLCon | Machine Learning Conference via YouTube
Overview
This course covers the learning outcomes and goals of understanding Long Short-Term Memory (LSTM) models, implementing them using TensorFlow's Python API for natural language understanding, and explaining the math behind LSTM step-by-step. The course teaches the skills of writing an LSTM model, utilizing TensorFlow's Python API, and comprehending the math behind LSTM. The teaching method involves a code-heavy session with a focus on practical implementation. The intended audience for this course includes individuals interested in machine learning, specifically in LSTM models and TensorFlow.
Syllabus
Long Short-Term Memory (LSTM) models with TensorFlow | ML Conference Session Sahil Dua
Taught by
MLCon | Machine Learning Conference