Keras for Deep Learning

Welcome to "Keras for Deep Learning," a comprehensive course designed to provide you with the essential knowledge and skills needed to harness the power of Keras for deep learning. Throughout this program, you will explore a wide range of deep learning concepts, algorithms, and practical applications, focusing on building, training, and deploying neural networks using the Keras framework.

This course covers crucial topics, including an introduction to Keras, testing different versions of Keras, and understanding the key differences between TensorFlow and Keras. You will also delve into various types of neural networks and their applications, gaining hands-on experience with Keras to build effective deep-learning models.

What Will Students Learn in This Course?

• What is Keras: Gain a solid understanding of the Keras framework, its features, and benefits.

• Testing Versions of Keras: Learn how to test and work with different versions of Keras to leverage its latest features and improvements.

• Differences Between TensorFlow and Keras: Understand the key differences and integration between TensorFlow and Keras, and how to use them together effectively.

• Different Types of Neural Networks and Their Uses: Explore various types of neural networks, including feedforward networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs), and understand their applications in different domains.