Deep Learning based on Deep Neural Network

Introduction

Aims & Objectives

Reviews of deep learning concept

Practical Application of Deep Learning

DEEP LEARNING EVOLUTION

Conclusion

Deep Learning is the subset of machine learning or can be said as a special kind of machine learning. It works technically in the same way as machine learning does, but with different capabilities and approaches.

Deep learning models are capable enough to focus on the accurate features themselves by requiring a little guidance from the programmer.

Deep learning is implemented with the help of Neural Networks, and the idea behind the motivation of neural network is the biological neurons, which isnothing but a brain cell.

Aims & Objectives

Deep learning aims to revolutionize artificial intelligence by developing models and algorithms that can mimic human brain functions. Its objectives include enhancing learning capabilities, improving prediction and decision-making, handling complex and unstructured data, automating feature extraction, enabling transfer learning, advancing natural language processing and computer vision, developing robust and explainable models, facilitating realtime processing, and fostering innovations and breakthroughs in various domains. Ultimately, deep learning seeks to unlock the hidden potential of AI, enabling machines to learn, adapt, and perform complex tasks with high accuracy and efficiency.

Reviews of deep learning concept

Practical Application of Deep Learning

Conclusion

CETPA Infotech offers a 6-week data analytics training program in Noida, providing participants with comprehensive knowledge and practical skills in the field. The program focuses on imparting expertise in data analysis, interpretation, and visualization techniques using industry-standard tools and technologies. Participants will engage in hands-on projects, workshops, and lectures, gaining a deep understanding of data analytics concepts and their application in real-world scenarios. The training aims to equip participants with the necessary skills to handle and analyze large datasets, derive meaningful insights, and make data-driven decisions. By completing the 6-week data analytics training at CETPA Infotech, participants can enhance their career prospects in the data analytics domain.