Know the Limitations
- Not Everything can be Deep learned: Deep learning although having wide applications cannot be used in every area. Certain areas require programming or scientific methods. For example, deep learning cannot be use in data preparation.
- Lack of knowledge: A lot of people do not know about deep learning. The people who know about deep learning do not know the intricate details of it along with how and where to use it.
- Lack of infrastructure: Deep learning requires large amount of labeled data and substantial computing power. The companies should have the appropriate infrastructure like having systems like Hadoop in place to handle such big data.
By: Parth Parekh
computing power deep learning Hadoop labeled data lack of infrastructure lack of knowledge programming scientific methods