The "Neural Networks" course provides a thorough introduction to the core concepts and techniques of neural networks. You'll explore the architecture of neurons, layers, and activation functions, and learn to design, implement, and train various types of neural networks, including feedforward, convolutional, and recurrent networks. Through hands-on projects and real-world applications, this course equips you with the skills to apply neural networks to tasks such as image recognition and predictive modeling, preparing you to tackle complex challenges in artificial intelligence and machine learning.
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Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Tue Jul 2024 | ||
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Total lectures | 29 | ||
Total quizzes | 0 | ||
Total duration | 39:30:51 Hours | ||
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Number of reviews | 26 | ||
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Short description | The "Neural Networks" course provides a thorough introduction to the core concepts and techniques of neural networks. You'll explore the architecture of neurons, layers, and activation functions, and learn to design, implement, and train various types of neural networks, including feedforward, convolutional, and recurrent networks. Through hands-on projects and real-world applications, this course equips you with the skills to apply neural networks to tasks such as image recognition and predictive modeling, preparing you to tackle complex challenges in artificial intelligence and machine learning. | ||
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