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 fundamentals4.9
(15)
- 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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Clyde Abder
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Reviewed on Oct 24, 2024
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Reviewed on Oct 12, 2024
The learning experience is very dynamic
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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
Recommended if you're interested in learning Python
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Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.
With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience
Take control of your career development and commence your path into mastering the latest technologies
Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
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