Deep learning, a subset of artificial intelligence (AI), has revolutionized various sectors like web search, advertising, healthcare, personalized education, precision agriculture, and autonomous vehicles. The instructor aims to equip learners with the knowledge and skills of deep learning through a sequence of courses on Coursera, ensuring they confidently include deep learning on their resumes. The instructor believes AI is as transformative today as electricity was a century ago, and deep learning is at the forefront of this AI-driven transformation.
The course sequence, or specialization, comprises five courses:
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Neural Networks and Deep Learning (4 weeks): This foundational course introduces neural networks, including deep networks. By the end, learners will create a cat recognition system.
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Improving Deep Neural Networks (3 weeks): Focusing on the practicalities, this course delves into hyperparameter tuning, regularization, and advanced optimization methods, aiming to simplify the perceived complexities of network construction.
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Structuring Machine Learning Projects (2 weeks): The course covers new strategies and best practices in structuring deep learning projects, including data splitting and end-to-end deep learning. The instructor shares unique insights from his extensive experience.
Convolutional Neural Networks: This course covers CNNs, predominantly used for image processing.
Sequence Models: The final course introduces sequence models like recurrent neural networks and LSTMs. These are applicable in areas such as natural language processing, speech recognition, and music generation.
The overarching goal is to empower learners with the tools of deep learning, enabling them to innovate and further their careers. The subsequent video will discuss the application of deep learning in supervised learning.
