Generative Adversarial Networks (GANs) and Stable Diffusion
3.0
Youtube2 learners
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This course provides an in-depth exploration of Generative Adversarial Networks (GANs) and Stable Diffusion. Learn how to build GANs with Tensorflow Keras, understand the differences between Generator and Discriminator, and explore the performance results of Stable Diffusion with KaraCV. Get ready to take your deep learning skills to the next level!
Neural Networks for Signal Processing - I
3.0
Swayam16 learners
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This course provides an introduction to neural networks for signal processing. Learn how to build artificial neural networks inspired by the human brain, and explore topics such as Rosenblatt's perceptron, regression modeling, multilayer perceptron (MLP), kernel methods, support vector machines (SVM), regularization theory, and principal component analysis. Suitable for graduate students, senior undergraduates, engineers, and scientists in related industries. Prerequisites include basic mathematical background in probability, linear algebra, signals and systems or equivalent.
Reseaux neuronaux convolutifs
3.0
Coursera0 learners
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Rejoignez ce cours pour apprendre à créer des réseaux neuronaux convolutifs et à les appliquer aux données d'image. Découvrez comment les réseaux résiduels et le transfert de style neuronal peuvent améliorer la vision par ordinateur et générer de l'art. Apprenez à appliquer ces algorithmes à une variété de données 2D et 3D.
Build Decision Trees SVMs and Artificial Neural Networks
2.5
Coursera14 learners
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Enroll in this course to learn how to build decision trees, SVMs, and artificial neural networks to solve complex business problems. Gain the skills to select the best algorithm for the job and understand the workflow of building models. Become a Certified Artificial Intelligence Practitioner and take your career to the next level.
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