Deep Learning and Applications
You will understand how to design and implement deep neural networks for image classification and natural language processing.
99 lessons
Lifetime access
Access Online
Certificate of Completion
Course Price:
₹17999
What you will learn:
Basics of Deep Learning
Neural Networks
Deep Learning Frameworks
Transfer Learning
Generative Adversarial Networks (GANs)
Natural Language Processing (NLP)
Autoencoders
Deep Reinforcement Learning
Ethical Considerations and Bias in Deep Learning
Practical Applications and Case Studies
Optimization and Regularization
Requirements:
AI/ML Fundamentals
Description:
Welcome to the Deep Learning and Applications course! In this course, you will learn advanced topics in Artificial Intelligence and Machine Learning. You will understand how to design and implement deep neural networks for image classification and natural language processing. You will also learn about advanced techniques for data analysis, such as anomaly detection, clustering, and dimensionality reduction. The course is designed to benefit you in several ways. First, AI and ML are rapidly becoming critical fields for businesses to remain competitive. By taking this course, you will gain valuable knowledge and skills that can be applied in a variety of fields such as healthcare, finance, and manufacturing. Second, you will learn how to design and implement complex models, which is a highly sought-after skill in the current job market. Finally, the course will provide you with real-world learning opportunities through practical exercises and projects. You will learn how to apply your knowledge to solve real-world problems and build predictive models. This will help you develop your programming skills and give you the confidence to take on challenging projects. By the end of this course, you will have a solid understanding of advanced AI/ML concepts and be well-equipped to apply your skills to real-world problems.
Your Tutor
Sumit Sah
Sumit Sah, an ambitious Ph.D. scholar thriving in the dynamic realm of Electrical, Electronics, and Communication Engineering (EECE) at the esteemed Indian Institute of Technology, Dharwad. His academic journey is marked by a profound dedication to advancing the frontiers of knowledge in the world of technology. Sumit's current focus lies in the optimization of two cutting-edge domains: deep learning and federated learning. As a researcher, he delves into the intricacies of these fields, aiming to enhance their efficiency and applicability. His work is a testament to his commitment to pushing the boundaries of what is possible in the ever-evolving landscape of artificial intelligence. Equipped with a Master's degree in Mathematics from Banaras Hindu University, Sumit Sah brings a unique blend of skills to his research. His strong mathematical foundation serves as a solid pillar for addressing the complex challenges inherent in the field of deep learning. It is this interdisciplinary approach that sets Sumit apart, allowing him to navigate the intricate intersections of mathematics and technology with ease. Beyond the academic realm, Sumit is not just a scholar but a visionary seeking to make a tangible impact. His journey reflects a relentless pursuit of knowledge, a commitment to excellence, and a passion for unraveling the mysteries of advanced technologies. Sumit Sah is not just shaping his academic destiny; he is contributing to the collective progress of the scientific community. As he continues to make strides in his Ph.D. journey, the world anticipates the innovative solutions and breakthroughs that will undoubtedly emerge from his dedicated efforts.