Documentation from My Research on Artificial Neural Networks (ANN)
- Machine Learning:
- Machine learning is the branch of computer science that has to do with building algorithms that are guided by data. Rather than relying on human programmers to provide explicit instructions, machine learning algorithms use training sets of real-world data to infer models that are more accurate and sophisticated than humans could devise on their own.
- Artificial Neural Networks:
- Within the field of machine learning, neural networks are a subset of algorithms built around a model of artificial neurons spread across three or more layers. There are plenty of other machine learning techniques that don’t rely on neural networks.
- Some links to explain Neural Networks in detailed:
- Within neural networks, deep learning is generally used to describe particularly complex networks with many more layers than normal. The advantage of these added layers is that the networks are able to develop much greater levels of abstraction, which is necessary for certain complex tasks, like image recognition and automatic translation.
- Links to getting started with TensorFlow (a tool for programming neural networks):
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