Learn How to Develop Neural Networks From Scratch and Develop and Deploy Models.
There is a technological revolution happening, changing all aspects of our daily lives. AI (Artificial Intelligence) has penetrated deep into our activities, interactions, professions, comforts, and experiences.
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. Deep learning is getting lots of attention lately and for good reason. It’s achieving results that were not possible before.
In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. Models are trained by using a large set of labeled data and neural network architectures that contain many layers. This immersive deep learning course teaches you how to use this data to create outcomes to use in your development.
In This Artificial Intelligence and Deep Leaning Course You Will:
- Understand the basics of deep learning
- Use Tuning Models
- Create convolutional neural networks
- Use Recurrent neural networks
- Develop and deploy models
- Use python / Jupyter notebooks
- Know the best practices to follow
This course is also available on our public schedule via Live Virtual Classroom:
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