Watch Advanced Deep Learning with Keras
- 2017
- 1 Season
Advanced Deep Learning with Keras is an online course offered by Packt Publishing that aims to provide advanced knowledge and techniques to master deep learning using Keras. This course is designed for professionals who have a basic knowledge of deep learning and Keras and want to dive into more complex concepts to enhance their skills.
The course is divided into six modules, each focusing on different topics related to deep learning with Keras. The first module, "Advanced Keras", covers the advanced features of Keras, including custom layers, models, and callbacks. It also provides a comprehensive understanding of how to save and load models along with practical examples.
The second module, "Generative Adversarial Networks", covers the foundational concepts of GANs and its practical applications. It also includes an in-depth explanation of how GANs work, different types of GANs, and how to build GANs using Keras.
The third module, "Autoencoders", covers the concept of autoencoders and its practical applications. It also includes an explanation of how autoencoders work, different types of autoencoders, and how to build them using Keras.
The fourth module, "Recurrent Neural Networks", focuses on the foundations of RNNs and its practical applications. It covers different types of RNNs, including LSTM, GRU, and Bi-directional RNNs, and how to build them using Keras.
The fifth module, "Convolutional Neural Networks", covers the foundational concepts of CNNs and its practical applications. It includes an explanation of different types of CNNs, including VGG, ResNet, and Inception, and how to build them using Keras.
The final module, "Deployment", focuses on the deployment of deep learning models on various platforms. It covers the practical aspects of deployment, including how to convert and optimize models to be deployed on mobile and web platforms using TensorFlow.js and TensorFlow Lite.
Throughout the course, learners will have the opportunity to work on practical projects that reinforce the concepts learned in each module. These projects cover a wide range of applications, including image classification, face detection, and natural language processing.
In addition to the content provided in each module, learners will also have access to a comprehensive set of resources, including course notes, code examples, and quizzes. The quizzes are designed to help learners consolidate their knowledge and test their understanding of the topics covered in each module.
Overall, Advanced Deep Learning with Keras is a comprehensive course that provides a deep understanding of advanced topics in deep learning using Keras. The course is designed for professionals who want to enhance their skills and take their deep learning expertise to the next level. With practical projects, in-depth explanations, and a wealth of resources, this course is an excellent choice for anyone looking to master the latest techniques in deep learning with Keras.