In this work, we reported a new method, bidirectional generative adversarial networkentropic path sampling, to accelerate the calculations of entropic profiles using reaction dynamics trajectories. The method leverages deep generative model to enhance the estimation of probability density function of molecular configurations for entropy calculations. Using cyclopentadiene dimerization as a model reaction, we tested the BGAN-EPS method and reproduced the reference