Let's discuss various deep learning libraries so as to pick the best for the purpose at hand. This is a context-dependent decision and will vary according to the situation. In this chapter, we will start with a brief introduction to deep learning and explore how DL4J is a good choice for solving deep learning puzzles. We will also discuss how to set up DL4J in your workspace.
In this chapter, we will cover the following recipes:
- Deep learning intuition
- Determining the right network type to solve deep learning problems
- Determining the right activation function
- Combating overfitting problems
- Determining the right batch size and learning rates
- Configuring Maven for DL4J
- Configuring DL4J for a GPU-accelerated environment
- Troubleshooting installation issues
