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A recycling company wants to automate the process of identification of different waste products in order to transport them into different conveyer belts for different recycling techniques. A camera is placed above the main conveyer belt which holds all the waste products delivered from the garbage truck. The camera constantly takes pictures of the products, and 10 robotic arms are supposed to capture different types of waste at the same time. A machine learning engineer was hired to build a model for this classification method. She wants to use her own TensorFlow model with custom dependencies for training and hosting. However, she wants to try the model locally first to ensure that everything is working fine before initiating powerful instances for training. What should the specialist do to train locally?