Learn how to develop deep learning algorithms using Python by gaining a practical understanding of artificial neural network principles.
A unique class of machine learning algorithms called artificial neural networks is based on how the human brain processes. ANN can learn from the data and produce outputs in the manner of forecasts or categorization, much like the neurons in our nervous system can do. The Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize online certification was created by data scientist Kirill Eremenko, AI entrepreneur Hadelin de Ponteves, and the Ligency Team, which is available on Udemy.
Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize online course is intended for learners interested in understanding the more advanced principles of deep learning and machine learning, including logistic regression and linear regression. With Deep Learning A-Z™: Hands-On Artificial Neural Networks online classes, learners will be provided with 22.5 hours of videos along with 38 articles and 5 downloadable resources which explain the functionalities of tools like TensorFlow and PyTorch as well as discuss the strategies involved with ANN intuition, CNN intuition, RNN intuition, and SOM intuition.
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Udemy
After completing the Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize certification course, learners will gain a hands-on experience in the fundamentals of deep learning and artificial neural networks. Learners will explore the functions of convolutional neural networks and recurrent neural networks. Learners will study ANN intuition, CNN intuition, RNN intuition, and SOM intuition as well as will acquire the knowledge of the strategies associated with linear regression, logistic regression, and data processing. Learners will also study about features of Boltzmann machines, AutoEncoders, and self-organizing maps.
***YOUR SPECIAL BONUS***
Mr Kirill Eremenko Data Scientist Udemy
Mr Hadelin de Ponteves Co-founder Udemy
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