Deep Learning with Keras and TensorFlow
Intermediate
Deep learning is one of the newest technological advances in the fields of artificial intelligence and machine learning. This Deep Learning with Keras and TensorFlow course is designed to help you master deep learning techniques and enables you to build deep learning models using the Keras and TensorFlow frameworks. These frameworks are used in deep neural networks and machine learning research, which in turn contributes to the development and implementation of artificial neural networks.
Program Features
One industry-based course-end project
Interactive learning with Jupyter notebooks integrated labs
Dedicated mentoring session from faculty of industry experts
Delivery Mode
Blended
This course consists of self-paced learning and live virtual classroom
Prerequisites
It is recommended that you first complete the following courses in order to improve your ability to understand the deep learning course’s concepts:
Programming Fundamentals
Statistics Essentials
Concepts about Machine Learning
Target Audience
Software and IT professionals interested in analytics
Data scientists
Business/ data analysts who want to understand deep learning techniques
Statisticians with an interest in deep learning
Key Learning Outcomes
When you complete this deep learning course, you will be able to accomplish the following:
Understand the concepts of Keras and TensorFlow, its main functions, operations, and the execution pipeline
Implement deep learning algorithms, understand neural networks, and traverse the layers of data abstraction
Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces
Build deep learning models using Keras and TensorFlow frameworks and interpret the results
Understand the language and fundamental concepts of artificial neural networks, application of autoencoders, and Pytorch and its elements
Troubleshoot and improve deep learning models
Differentiate between machine learning, deep learning, and artificial intelligence
Course Curriculum