Description:

Artificial Intelligence and machine learning are the cornerstones of the next revolution in computing. These technologies hinge on the ability to recognize patterns then, based on data observed in the past, predict future outcomes.
Understanding the latest advancements in artificial intelligence can seem overwhelming, but it really boils down to two very popular concepts Machine Learning and Deep Learning. But lately, Deep Learning is gaining much popularity due to it’s supremacy in terms of accuracy when trained with huge amount of data. Practically, Deep Learning is a subset of Machine Learning that achieves great power and flexibility by learning to represent the world as nested hierarchy of concepts, with each concept defined in relation to simpler concepts, and more abstract representations computed in terms of less abstract ones.
Demand for skilled Deep Learning Engineers is booming across a wide range of industries, making this Deep Learning course with Keras and Tensorflow certification training well-suited for professionals at the intermediate to advanced level.

Course Code/Duration:

BDT189 / 3 Days

Learning Objectives:

After this course, you will be able to:

• Understanding the intuition behind Artificial Neural Networks.
• Understanding the basic to advance concept of Convolutional Neural Networks.
• Where and why to use Recurrent Neural Networks.
• Apply CNN in practice.
• Hands on RNN with real life use case.
• Hands on learning on TensorFlow and Keras
• Building CNN Model using TensorFlow.
• Understanding LSTM and their use case.
• Real time Object Detection using YOLO