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.
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
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.
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.
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.
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?
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.
Software Engineers: Software engineers aiming to broaden their skill set to include AI and machine learning capabilities can benefit significantly from this course.
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.
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.