Neural Networks for Machine Learning From Scratch
- 4.2
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Brief Introduction
Develop your own deep learning framework from zero to one. Hands-on Machine Learning with Python.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.
Requirements
- Requirements
- Basic Python
- Basic Calculus
Sefik Ilkin Serengil
4.2 Raiting
Machine Learning and AI: Support Vector Machines in Python
- 4.6
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Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression The toughest obstacle to overcome when you’re learning about support vector machines is that they are very theoretical....
Machine Learning Optimization Using Genetic Algorithm
- 4.5
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Learn how to optimize Machine Learning algorithms' performances and apply feature selection using Genetic Algorithm It is referred to as hyperparameter tuning or parameter tuning....
Ultimate Neural Nets and Deep Learning Masterclass in Python
- 3.8
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The best way to learn machine learning and AI using python: simply and fully explained concepts with practical exercises USED BY SOFTWARE STUDENTS AT CAMBRIDGE UNIVERSITY - WORLD CLASS DEEP LEARNING COURSE - UPDATED CONTENT January 2018...
Introduction to Embedded Machine Learning
- 4.8
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Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. Introduction to Machine Learning...
