Deep learning is a subset of machine learning focused on neural networks with multiple layers, enabling computers to learn from data and make decisions. This course covers fundamental concepts such as artificial neural networks, backpropagation, and gradient descent. Students will explore various architectures like convolutional and recurrent neural networks, which are pivotal in image recognition, natural language processing, and other complex tasks. Practical applications include hands-on coding exercises using frameworks like TensorFlow or PyTorch to implement deep learning models. By the end of the course, learners will have the skills to design and train deep neural networks, understand their theoretical underpinnings, and apply them to real-world problems effectively.
₹40,000
4.8
12K+ Learners enrolled
100 +
Duration(Hours)
350+
Problems
Watch classes any time at your convenience
Catch up on the course when life is calling you elsewhere
A structured curriculum that makes learning easy
Practice code problems of varying difficulty
Engagement coach to keep you motivated
Compile & run in an integrated coding environment
1:1 sessions over voice call & chat with our skilled teaching assistants
1:1 Mock interviews with resume and career guidance
Structured feedback to make you better
Get a chance to be referred to your mentors’ company
Skill-based hiring across all levels of experience
Average salary hike
Transitions to product companies
Trusted placement partners
Praveen has a full stack development experience and professional instructor and trainer for Flutter, Data Science, Machine Learning and Python Programming. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations.
He is an expert in JavaScript & React (Front-end) and has worked on open-source projects like Firebug and Zulip. He has also served as a GCI (Google Code-In) Mentor with Zulip. In his previous role as a Software Engineer he has worked for Goibibo-MMT.