Neural Networks for Machine Learning From Scratch udemy course free download
What you'll learn:
- They can develop their own neural networks / deep learning framework
- Without any need to high level deep learning frameworks
- Tuning neural networks models
- Understand how neural networks work
- Learn how to apply neural networks in real world examples
- Even though, python is used in the course, you can easily adapt the logic into other programming languages
Requirements::
- Basic Python
- Basic Calculus
Description:
Deep learning would be part of every developer's toolbox in near future. It wouldn't just be tool for experts.
In this course, we will develop our own deep learning framework in Python from zero to one whereas the mathematical backgrounds of neural networks and deep learning are mentioned concretely. Hands on programming approach would make concepts more understandable. So, you would not need to consume any high level deep learning framework anymore. Even though, python is used in the course, you can easily adapt the theory into any other programming language.
Who this course is for:
- Anyone who wants to learn mathematical background of neural networks and deep learning
- Interested in Data Science, Artificial Intelligence and Machine Learning
- Anyone who wants to develop their own deep learning framework
- Anyone who wants to transform neural networks theory to practice
Course Details:
- 3 ч видео по запросу
- 2 ресурсов для скачивания
- Полный пожизненный доступ
- Доступ через мобильные устройства и телевизор
- Задания
- Сертификат об окончании