Deep Learning With Keras&Tensorflow

"Deep Learning With Keras & TensorFlow," a comprehensive course designed to equip you with the essential knowledge and skills needed to master deep learning using the powerful Keras and TensorFlow frameworks. Throughout this program, you will explore many deep learning concepts, and algorithms, focusing on building, training, and deploying deep neural networks.

This course covers crucial topics, including an introduction to TensorFlow, hands-on experience with TensorFlow 2.0, and a mini-project explanation to solidify your understanding. You will also delve into Keras, learning about its installation, various network types, and how to leverage its simplicity for rapid prototyping and experimentation. By the end of this course, you will be proficient in building complex models to tackle real-world problems.

What Will Students Learn in This Course?

• Introduction to TensorFlow: Gain a solid understanding of TensorFlow’s architecture and core components.

• TensorFlow 2.0: Explore the new features and improvements in TensorFlow 2.0, including eager execution and the Keras API.

• Keras Introduction and Installation: Learn how to install and set up Keras and understand its integration with TensorFlow.

• Introduction to Keras: Discover the simplicity and efficiency of Keras for building deep learning models.

• Types of Networks: Explore various types of neural networks, including feedforward networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).