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Updated in [August 31st, 2023]
Skills and Knowledge:
By taking this course, you will acquire the following Skills and Knowledge:
1. Understanding of the fundamentals of deep learning and neural networks.
2. Knowledge of the Python programming language and its libraries.
3. Ability to use the Keras library to create and train deep learning models.
4. Understanding of the principles of convolutional neural networks.
5. Ability to apply deep learning models to solve real-world problems.
6. Understanding of the principles of transfer learning.
7. Ability to use pre-trained models for image classification.
8. Understanding of the principles of natural language processing.
9. Ability to use deep learning models for text classification.
10. Understanding of the principles of reinforcement learning.
11. Ability to use deep learning models for reinforcement learning tasks.
Professional Growth:
This course contributes to professional growth by providing a comprehensive introduction to deep learning and convolutional neural networks using Python and Keras. It covers the fundamentals of deep learning and neural networks, as well as more advanced topics such as convolutional neural networks and recurrent neural networks. By taking this course, professionals will gain a better understanding of the principles and techniques of deep learning and neural networks, and be able to apply them to their own projects. Additionally, the course provides hands-on experience with Python and Keras, which are essential tools for any deep learning practitioner.
Further Education:
This course titled "Deep Learning & Neural Networks Python Keras For Dummies" is suitable for preparing for further education. It covers topics such as deep learning, convolutional neural networks, Python programming, and Keras framework. Whether you are a beginner or a professional, this course provides a comprehensive online tutorial that can help you gain the necessary knowledge and skills in these areas.
