The WE method predominantly depends on appropriate CVs to sample the system. In most cases, the best choice of CVs is unknown. In cases where CVs cannot sufficiently describe the system's dynamics, hybrid approaches and most enhanced sampling CV-free approaches may generate a well-sampled initial configurational space. Initial sampling of the PES has a significant impact on the accuracy and convergence of WE. Our previously developed hybrid GaMD-WE method addresses the concern of substantial initial sampling but reweighing is an additional concern associated with it. To obtain the correct PES of the system, GaMD resorts to reweighing, and a substantial amount of energetic noise is introduced with an increase in the system size. In that case, GaMD needs to be run for a longer timescale for varying degrees of boost potentials, increasing the overall computational cost drastically. As demonstrated through previous examples, the newly developed DeepWEST approach is a powerful method that obtains both the kinetics and thermodynamics of the system. Compared to our earlier developed hybrid approach, it is a hassle-free method for enhanced sampling prior to running WE simulations. First, DeepWEST eliminates the process of running various accelerated MD simulations with varying degrees of boost potentials.