Arturo Calvo

Results 2 issues of Arturo Calvo

I have tried running the algorithm on Colab with different datasets (256, 512px), batch sizes (16, 32), aug probabilities (0.25, 0.40) and gradient_accumulate_every (4, 2, 1). However, I always get...

Great work, but I am trying to understand why are you using 4096 as input vector size, while in the DCGAN paper it uses 100. ``` def noise(n): return np.random.uniform(-1.0,...