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)
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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IA para todos (Coursera)

La IA no es solo para ingenieros. Si desea que su organización esté mejor preparada en el uso de la IA, este es el curso que todos deberían hacer, especialmente sus colegas no técnicos.
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Deep Learning and Reinforcement Learning (Coursera)

Aug 9th 2021
Deep Learning and Reinforcement Learning (Coursera)
Course Auditing
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This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we [...]
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Aug 9th 2021
Course Auditing
31.00 EUR/month

Introduction to Deep Learning & Neural Networks with Keras (Coursera)

Aug 9th 2021
Introduction to Deep Learning & Neural Networks with Keras (Coursera)
Course Auditing
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Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? [...]
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Machine Learning Using SAS Viya (Coursera)

Aug 9th 2021
Machine Learning Using SAS Viya (Coursera)
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This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, [...]
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Average: 1 ( 4 votes )

Introduction to Machine Learning (Coursera)

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. [...]
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Introduction to Deep Learning (Coursera)

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners [...]
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Average: 1 ( 3 votes )

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (Coursera)

This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow.
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Neural Networks and Deep Learning (Coursera)

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just [...]
6
Average: 6 ( 3 votes )

Neural Networks and Random Forests (Coursera)

Aug 2nd 2021
Neural Networks and Random Forests (Coursera)
Course Auditing
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In this course, we will build on our knowledge of basic models and explore advanced AI techniques. We’ll start with a deep dive into neural networks, building our knowledge from the ground up by examining the structure and properties. Then we’ll code some simple neural network models and learn [...]
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