Deep Learning Course: Deep Dive into Deep Learning
Free Deep Learning Course with Certification
About this Free Deep Learning Course: Deep Dive into Deep Learning
Welcome to our free Deep Learning Course with certification. Designed for beginners, this course offers a comprehensive introduction to the field of deep learning, one of the most exciting and fast-growing areas of artificial intelligence.
What you’ll learn
- Understanding of Deep Learning Concepts: You'll gain a comprehensive understanding of key deep learning concepts including neural networks, convolutional neural networks, backpropagation, transfer learning, and generative adversarial networks.
- Proficiency in Deep Learning Frameworks: You'll gain hands-on experience using popular deep learning frameworks such as TensorFlow and PyTorch, allowing you to build, train, and validate deep learning models.
- Problem-solving Skills: Through real-world projects, you'll learn how to apply your deep learning knowledge effectively, honing your ability to solve complex problems.
- Interpretation and Communication of Results: You'll learn to interpret the outputs of deep learning models, understand their implications, and communicate these findings effectively, an important skill in the professional realm.
Course Content
Certificate for Free Deep Learning Course: Deep Dive into Deep Learning
Instructor of this course
- Co-Founder & Principal Instructor, Applied AI & AppliedRoots
- Senior ML Scientist @ Amazon, Palo Alto and Bangalore
- Co-Founder, Matherix Labs
- Research Engineer, Yahoo! Labs
- Masters from IISc Bangalore, Gate 2007(AIR 2)
- 13 years of experience in AI and Machine Learning
Pre-requisites for free deep learning certification course
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Basic Programming Knowledge: A foundational understanding of any programming language is necessary, with Python being the most commonly used language in machine learning and deep learning.
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Understanding of Machine Learning: A basic grasp of machine learning concepts and principles will be beneficial as deep learning is a subset of machine learning.
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Mathematics: Knowledge of basic mathematics, specifically in areas like linear algebra, calculus, and statistics, is useful, as these concepts often underpin the mechanisms of deep learning algorithms.
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Eagerness to Learn: Deep learning is a complex field. A strong willingness to learn, along with the readiness to invest time and effort, is a crucial prerequisite for this course.
Who should learn this free deep learning course?
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Aspiring AI and ML Professionals: Individuals looking to enter the fields of artificial intelligence and machine learning would find this course highly valuable as deep learning is a key subset of these areas.
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Software Engineers: Software engineers aiming to broaden their skill set to include AI and machine learning capabilities can benefit significantly from this course.
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Data Scientists and Analysts: Professionals in these roles who wish to incorporate deep learning techniques into their data analysis and predictive modeling work should consider this course.
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Researchers and Academics: Scholars and researchers in fields like cognitive science, computer science, and artificial intelligence can use this course to deepen their understanding of deep learning for cutting-edge research and development.