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- AI
Deep Learning
complex patterns in data. It powers many modern AI applications, including image recognition, natural language processing, speech recognition, and recommendation systems. Deep learning is especially effective at solving problems that involve large datasets and unstructured data such as images, text, and audio.
This learning path covers everything from core deep learning concepts and neural network fundamentals to building, training, and optimizing models using modern frameworks. You’ll learn how to work with common architectures such as convolutional and recurrent neural networks, apply best practices for model evaluation and performance tuning, and understand how deep learning systems are used in real-world applications. By the end of this path, you’ll have the skills needed to design and deploy effective deep learning solutions.
Content in this path
Quick Start
Watch these courses to get started learning about Deep Learning Basics.
Essentials
Watch these courses to understand how to develop and deploy deep learning models.
Deep Dive
Watch these courses to get in-depth hands-on experience developing specialized deep learning models.
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