Deep Learning

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Künstliche Intelligenz und Maschinelles Lernen in der Praxis (openHPI)

Oct 6th 2021
Künstliche Intelligenz und Maschinelles Lernen in der Praxis (openHPI)
Free Course
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Alle reden über “Maschinelles Lernen”, "Neuronale Netze", "Künstliche Intelligenz" und "Deep Learning - doch wie diese Techniken genau in der Praxis funktionieren und eingesetzt werden, erfahren Sie in diesem weiterführenden openHPI Kurs. In diesem vierwöchigen Gratis-Kurs können Jugendliche und andere Interessierte ohne Programmier-Erfahrung und technisches Hintergrundwissen lernen, wie Machine [...]
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PyTorch Basics for Machine Learning (edX)

Self Paced
PyTorch Basics for Machine Learning (edX)
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This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong [...]
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Deep Learning with Python and PyTorch (edX)

Self Paced
Deep Learning with Python and PyTorch (edX)
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This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. In the first course, you learned the basics of PyTorch; in this course, you will learn how to build deep neural networks in PyTorch. Also, you will learn how [...]
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Object Localization with TensorFlow (Coursera)

Apr 26th 2021
Object Localization with TensorFlow (Coursera)
Free Course
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Welcome to this 2 hour long guided project on creating and training an Object Localization model with TensorFlow. In this guided project, we are going to use TensorFlow's Keras API to create a convolutional neural network which will be trained to classify as well as localize emojis in images. [...]
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Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera)

Apr 26th 2021
Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera)
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There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have [...]
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Natural Language Processing with Attention Models (Coursera)

Apr 26th 2021
Natural Language Processing with Attention Models (Coursera)
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This course is for students of machine learning or artificial intelligence as well as software engineers looking for a deeper understanding of how NLP models work and how to apply them.
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Apr 26th 2021
Course Auditing
41.00 EUR/month

Probabilistic Deep Learning with TensorFlow 2 (Coursera)

Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning [...]
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The Art & Science of Product Management (Coursera)

Sponsored by AMAZON WEB SERVICES (AWS). Learn how Amazon, Facebook, Google, and Twitch PMs and lead and collaborate with an interdisciplinary team of UX designers, software engineers, AI/ML engineers. Plus, practice real PM interview questions asked by Microsoft, Google, and Amazon!
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AI For Everyone (Coursera)

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.
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An Introduction to Practical Deep Learning (Coursera)

This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading.
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