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Coding Deep Learning

Offered By: MLCon | Machine Learning Conference via YouTube

Tags

MLCon Courses Calculus Courses Deep Learning Courses TensorFlow Courses Keras Courses PyTorch Courses Matrix Algebra Courses

Course Description

Overview

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Dive into the world of deep learning with this 59-minute conference talk from ML Conference 2017. Explore how deep learning can be applied effectively even with moderate resources and not-so-big data. Gain insights into the essential concepts of matrix algebra and calculus underlying deep learning algorithms. Learn valuable tips and tricks for getting started with popular frameworks like Keras, PyTorch, and TensorFlow. Discover how to integrate deep learning into various applications and understand its potential beyond tech giants. Join Sigrid Keydana from Trivadis as she demystifies the coding aspects of deep learning and equips you with the knowledge to leverage this powerful technology in your projects.

Syllabus

Coding deep Learning | ML Conference 2017 Session with Sigrid Keydana


Taught by

MLCon | Machine Learning Conference

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