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keras python

keras python - using models

This beginner level and highly comprehensive course is intended for learners who are familiar with Python programming. You will become familiar with the fundamental concepts and terminologies used in deep learning. In addition, this course will help you understand the importance of deep learning techniques. You will examine simple models like perceptron before learning more complex yet powerful deep learning models. The course will provide hands-on practical knowledge of how to code simple and complex deep learning models in NumPy, a powerful Python library and Keras, a cutting-edge library for deep learning in Python. You can test your knowledge with the quizzes that are provided at the end of every lesson and coding challenges that will help you gain a higher understanding. By the end of the course, you should have a general understanding of the basics in deep learning and you will be equipped with the right tools to learn more advanced concepts.

A Beginner's Guide to Deep Learning

Deep learning is an advanced topic. This course does not cover everything about deep learning but it will involve all information needed for a beginner. In this course you will learn:

- **Fundamentals of Machine learning required for deep learning:**
  - What is Machine learning?
  - What are Machine learning paradigms?
  - What is deep learning?
  - Why is deep learning more powerful than Machine learning? 
  - What is the programming paradigm in deep learning?



- **Simple to complex models in NumPy:**
  - How can we make and use simple models? 
  - What problems can a complex model solve?
  

- **Developing and fine-tuning deep learning models in Keras:**
  - How can we make deep learning models in Keras? 
  - How can we optimize the model output? 


By the time you have completed this course, you will have a solid understanding of the basics of deep learning. With this new skill set, you will be ready to move on to more advanced concepts.

Without further ado, let's begin!🚀

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A brief summary of what you will learn in this course.

✨Before We Begin

✨Introduction to Deep Learning

✨Simple Perceptron Models in NumPY

✨Towards Deep Neural Networks in NumPY

🖥️ Project: Build a Letter Classification Model

Deep Learning in NumPy Exam

✨Building Deep Learning Models with Keras

✨Fine-tune Keras Model

🖥️ Project: Build a Digit Recognition Model

✨Conclusion

Deep Learning in Keras Exam

Learning Outcomes