Introduction to Neural Networks
Kursus
90 Allerede tilmeldte studerende- 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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Der er 3 moduler i dette kursus
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.- What is a Neural Network?Forhåndsvisning
- Applications of Deep Learning in the Real WorldForhåndsvisning
- Neural Networks or Traditional ModelsForhåndsvisning
- Neural Network StructureForhåndsvisning
- What is a Neuron?Forhåndsvisning
- Activation FunctionsForhåndsvisning
- Forward and Backward PropagationForhåndsvisning
- Single Neuron ImplementationForhåndsvisning
- Challenge: Creating a NeuronForhåndsvisning
- Perceptron LayersForhåndsvisning
- Challenge: Creating a PerceptronForhåndsvisning
- Forward PropagationForhåndsvisning
- Loss FunctionForhåndsvisning
- Backward PropagationForhåndsvisning
- Backpropagation ImplementationForhåndsvisning
- Model TrainingForhåndsvisning
- Challenge: Training the PerceptronForhåndsvisning
- Model EvaluationForhåndsvisning
- Challenge: Evaluating the PerceptronForhåndsvisning
- Neural Network with scikit-learnForhåndsvisning
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Studerendes anmeldelser
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Viser 3 af 3 anmeldelser
Anton Salata
5
Anmeldt den Oct 8, 2024
5
Anmeldt den Aug 8, 2024
clear explanations and diagrams with examples, text based so I can read at my own pace
Dmitry Larin
5
Anmeldt den Jan 5, 2024
Very clear, nice, good supplementals, code lessons help to remember
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