Neural Networks

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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)
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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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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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Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)

Apr 26th 2021
Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)
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In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network; • Build custom loss functions (including the contrastive loss function used in a Siamese network) in [...]
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Apr 26th 2021
Course Auditing
41.00 EUR/month

Reinforcement Learning for Trading Strategies (Coursera)

In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied [...]
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Visual Perception for Self-Driving Cars (Coursera)

Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of [...]
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Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls (Coursera)

Machine learning. Your team needs it, your boss demands it, and your career loves it. After all, LinkedIn places it as one of the top few "Skills Companies Need Most" and as the very top emerging job in the U.S. This course will show you how machine learning works. [...]
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Natural Language Processing with Sequence Models (Coursera)

In Course 3 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will: a) Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets, b) Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model, c) Train a recurrent neural network to [...]
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Natural Language Processing with Probabilistic Models (Coursera)

In Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will: a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming; b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is important for computational linguistics, c) Write a better auto-complete algorithm using [...]
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Computational Vision (Coursera)

Apr 26th 2021
Computational Vision (Coursera)
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In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to [...]
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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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