Apache Spark and BigDL Deep Learning Training provides the developers to develop large datasets in very speedy way. The tackling of the program can be usually done with faster hardware (GPUs), Optimized codes and also some sort of parallelism. One of the foremost cloud-computing framework, Apache Spark, used by many of the organizations across the world for performing some advanced functionalities related to Cloud Applications. Big DL when used with Apache Spark creates Application that can be on Cloud using some functionalities that can lead to more secure. The training includes the introductory information about the Apache Spark and its related installation concepts. On this training, some of the Spark Example Repository related information are made available for creating an application for Deep Learning. On the completion of the training, the aspirants can gain expertise in creating Deep Learning Application using the Apache Spark and Big DL.
- Understanding the concept of training neural networks basically on spark cluster
- Dealing with the Network related training for BigDL
- Understanding the concept of using Spark local in conjunction with DL4J
- Completely secure and safe for the Blockchain developers
- Synchronization and Serialization overhead concepts are most overwhelmed
- Complete enhancement in Training Performance