Your team is deeply involved in numerous machine learning projects, with a significant focus on TensorFlow. Recently, you've developed a DNN model for image recognition that performs exceptionally well and is nearing production deployment. However, your manager has requested a demonstration of the model's inner workings to ensure transparency and trust among stakeholders. This presents a challenge as, while the model's performance is proven, its explainability is lacking. Given the constraints of needing a solution that does not require retraining the model and must be implementable within a tight deadline, which of the following techniques could assist in elucidating the model's decision-making process? Choose the two most appropriate options.