Introduction to Neural Networks
Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.Course
Gain insight into a topic and learn the fundamentals5.0
(3)
- Understand the core concepts behind neural networks and their structure.
- Grasp the role and functionality of a single neuron and perceptron layers in artificial intelligence.
- Comprehend activation functions, along with forward and backward propagation techniques.
- Explore applications of deep learning in real-world scenarios.
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There are 6 modules in this course
Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.Chosen by students of top schools
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Anton Salata
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Reviewed on Oct 8, 2024
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Reviewed on Aug 8, 2024
clear explanations and diagrams with examples, text based so I can read at my own pace
Dmitry Larin
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Reviewed on Jan 5, 2024
Very clear, nice, good supplementals, code lessons help to remember
Recommended if you're interested in learning Python
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