Deep Learning models are dominating nowadays in a variety of application domains and have outperformed the classical machine learning models in many ways. It is always a curiosity across the developers and learners on how to build efficient deep learning models for interesting applications. In this workshop, developing deep learning models from scratch will be discussed through which the participants will learn how to start, develop and apply these models in real-life applications. These implementations will be done with Keras using the TensorFlow backend.
Strong understanding of deep learning, from basics to advanced.
In-depth knowledge of artificial neural networks.
Clear concept about development, tuning, regularizing and improving the models.
Knowledge of various building blocks with their practical implementations.
Understanding of real-life applications of deep learning models.
Practical knowledge of applying deep learning in computer vision and natural language processing.