Introduction to Neural Networks
Curso
607 Estudiantes ya inscritos- 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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Hay 3 módulos en este curso
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.- Single Neuron ImplementationVista previa
- Challenge: Creating a NeuronVista previa
- Perceptron LayersVista previa
- Challenge: Creating a PerceptronVista previa
- Forward PropagationVista previa
- Loss FunctionVista previa
- Backward PropagationVista previa
- Backpropagation ImplementationVista previa
- Model TrainingVista previa
- Challenge: Training the PerceptronVista previa
- Model EvaluationVista previa
- Challenge: Evaluating the PerceptronVista previa
- Neural Network with scikit-learnVista previa
Elegido por estudiantes de las mejores escuelas
Por qué la gente elige Codefinity para su carrera

Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
Reseñas de estudiantes
4.8
19 reseñas
5
84%
4
11%
3
5%
2
0%
1
0%
Mostrando 3 de 19 reseñas
Massimo Gattoni
5
Revisado en Jun 21, 2025
Great job boys!
Yan Bodnya
4
Revisado en Jun 6, 2025
A bit of mix between complexity and practice. Also if doing as part of the track would benefit of better relationship between courses
Athanasios Samaras
4
Revisado en Feb 12, 2025
Good hints provided, nice skeleton code
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