NAVIGATING THROUGH THE NEURAL NETWORKS [HANDS ON SESSION]

Name: NAVIGATING THROUGH THE NEURAL NETWORKS [HANDS ON SESSION]
Start: 2024-01-09T17:00:00+05:30
End: 2024-01-09T19:00:00+05:30
Location: International Institute of Information Technology Bhubaneswar

International Institute of Information Technology Bhubaneswar, Gothapatna, Bhubaneswar, 751003

International Institute of Information Technology - Bhubaneswar, India

This session aims to elucidate the foundational principles of deep learning, guiding participants through the process of designing and constructing an Artificial Neural Network tailored for digit recognition. Additionally, strategies to optimize and enhance the performance of these networks will be discussed. Practical coding exercises, employing widely-used deep learning frameworks such as Tensor

Jan 9, 11:30 AM – 1:30 PM

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Key Themes

Career DevelopmentExplore MLKaggleML Study JamMachine LearningSolution ChallengeTensorFlow / Keras

About this event

Embark on a profound exploration into the inner workings of Artificial Neural Networks (ANNs), as we unravel the intricate architecture that emulates the complexity of the human brain. Dive into the layers, neurons, and activation functions, understanding the pivotal components that form the backbone of neural networks.
Immerse yourself in a hands-on coding session utilizing the powerful TensorFlow deep learning framework. Discover the art of optimization techniques, decode the significance of loss functions, and master the fine-tuning processes essential for achieving accurate and efficient classification.
This session goes beyond mere theory, emphasizing a dynamic blend of theoretical comprehension and practical application. Cap off the experience with a dedicated Q&A segment, addressing queries and fostering a brief discussion on the strategic roadmap ahead. Join us for an enriching journey that not only deepens your theoretical understanding but also empowers you with actionable insights, bridging the gap between knowledge and practical application.
REQUIREMENTS: Bring your Laptop along
Day, Date: Tuesday, 09 January 2024
Time: 5pm-7pm
Venue: CG 07