What you would learn in Deep Learning with Keras course?
There's been a massive leap in artificial intelligence (AI) and machine learning, and deep learning solutions are the most prominent. Implementing these systems can be a challenge to design and require the writing of a lot of complex code. Keras is open-source software that can make it easier to design deep learning solutions. In just a few lines of code, you can create an algorithm that requires hundreds of standard code lines.
The course in this class, Deep Learning with Keras, will bring you familiar with the theory and practical application of using Keras to build deep neural networks.
Then, you'll dive deep into the process of learning how Keras creates different layers of neurons easily and quickly, with each layer being able to define the particular functionality required to build your solution.
In the next step, you will understand how you can utilize Keras and the various ways of connecting these layers to create the foundation for your network of deep neural connections. Then, you'll learn how to use Keras to build a variety of state-of-the-art neural networks, like the well-known Convolutional and Recurrent Neural Networks, to bring these ideas to reality.
At the end of this course, you'll acquire the knowledge and skills necessary to efficiently build deep neural networks by taking advantage of the course's lecture and hands-on programming mix.
Course Content:
Course Overview
Introducing Keras
Create Your First Neural Network with Keras
Modells Constructing in Keras
Utilizing Layers in Keras Models
Convolutional NN Convolutional NN with Keras
Utilizing Recurrent Neural Nets using Keras
With specialties and functions
Last Words
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