Ratings & reviews

5.07 ratings

Ілля Х.

today

Дуже крутий курс, пройшов перший розділ і отриимав гарне розуміння про нейронні мережі.

Іван Н.

32 days ago

Дуже змістовний і цікавий курс

Олег Н.

41 days ago

Все подобається.

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info

Complete all chapters to get certificate

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Concept of Neural Network

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First, we will discuss what a neural network is and how it works. And also consider the scope of its application.

What is a Neural Network?

What is a Neuron?

Activation Functions

Forward and Backward Propagation

Applications of Deep Learning in the Real World

Neural Network from Scratch

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Next, we will try to build our own neural network and see how efficiently it copes with learning. We will also consider a ready-made solution from the scikit-learn library.

Single Neuron Implementation

Perceptron Layers

Forward Propagation

Backward Propagation

Data Preprocessing

Model Training and Evaluation

Neural Network with scikit-learn

Conclusion

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Finally, we will give you some additional useful information on how to understand which model to use and what types of neural networks there are. To complete the course, you will be tested on your acquired knowledge.

Neural Networks or Traditional Models

Other types of Neural Networks

Challenge 1

Challenge 2

Final Quiz

Summary