Our Trainings
Deep Learning with Keras
Synopsis
This training program is designed to provide participants with an in-depth understanding of deep learning concepts and practical skills using the Keras framework. This course will cover essential topics such as neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced architectures. Participants will engage in hands-on exercises and projects to build, train, and optimize deep learning models for various applications, including image recognition, natural language processing, and time series analysis. By the end of the training, participants will be proficient in using Keras to develop sophisticated deep learning solutions and deploy them effectively in real-world scenarios.
Objectives
Equip participants with a solid foundation in deep learning concepts, including neural network architectures, activation functions, and optimization techniques. Provide practical experience in using the Keras framework to build, train, and evaluate deep learning models for different types of data and applications. Teach participants advanced deep learning methods, including CNNs for image processing, RNNs for sequential data, and hybrid models for complex tasks. Enable participants to apply their knowledge by developing and deploying deep learning models on real-world datasets, ensuring they can tackle practical challenges and deliver impactful solutions.
Methodology
Ice Breaking, Presentation, Hands-on Lab Activity, Brainstorming, Discussion And Q&A.
