Discover fundamental deep learning concepts, master coding models using NumPy and Keras, and test your knowledge with quizzes and coding challenges. Gain insights into effective deep learning techniques.

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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

# The programming paradigm: ANN
The programming paradigm allows machines to learn from data. It is called Artificial Neural Networks (ANN).
The key idea behind ANN is to use the brain’s architecture for inspiration. Namely, on how to build intelligent machines.

In a biological neuron, the dendrites  receive signals, the  cell body processes them, and an axon outputs the signals to other neurons. 



The artificial neuron (also referred to as a perceptron) is prone to imitating the mechanics of a biological neuron. It has a number of input channels to receive the input. It has a processing unit for 
 processing the input, and it possesses an output channel that sends signals to multiple nodes.





Learn the programming paradigm for deep learning.

✨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

Programming Paradigm

The programming paradigm: ANN