DCGAN Results Discussion

fllci: <p>Hi everyone. I built a 1D-DCGAN model recently (input is signal) and for the last 2 weeks, I’ve been dealing with the interpretation of the results. The Discriminator and Generator seem to converge since they are expected to be close to 0.5. Errors are looking alright. However, the FID score is always stable in some close range. I am not sure why. I’d appreciate any comments. Here are the latest figures:</p>
<p><img src="https://discuss.pytorch.org/uploads/default/original/3X/a/b/ab10582c9fabb97058956bf400a27f8a138f402a.png" alt="image" data-base62-sha1="opiFf8zOW1RPxownTNjs1TZ5mZ4" width="667" height="493"></p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/7/a/7a2edcb9ca1a066d350eae6fcb6f3f143f8a3341.png" data-download-href="https://discuss.pytorch.org/uploads/default/7a2edcb9ca1a066d350eae6fcb6f3f143f8a3341" title="image"><img src="https://discuss.pytorch.org/uploads/default/original/3X/7/a/7a2edcb9ca1a066d350eae6fcb6f3f143f8a3341.png" alt="image" data-base62-sha1="hqSEuXMoZwEs0Ka9VApMVkJGkYF" width="690" height="440" data-dominant-color="F9F9F9"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">709×453 12.8 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
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<p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/6/4/64f34af858fc7fe6627d6c6007815ada55a85622.png" data-download-href="https://discuss.pytorch.org/uploads/default/64f34af858fc7fe6627d6c6007815ada55a85622" title="image"><img src="https://discuss.pytorch.org/uploads/default/original/3X/6/4/64f34af858fc7fe6627d6c6007815ada55a85622.png" alt="image" data-base62-sha1="ep2ZYn16RmfvfHBmUCLE0EVPvvI" width="690" height="388" data-dominant-color="F6F6F6"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">787×443 16.1 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/a/5/a5778856d35076e91fbc6147c1162cf67aec0313.png" data-download-href="https://discuss.pytorch.org/uploads/default/a5778856d35076e91fbc6147c1162cf67aec0313" title="image"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/a/5/a5778856d35076e91fbc6147c1162cf67aec0313_2_690x204.png" alt="image" data-base62-sha1="nBMSyEYbo7cfsfBI2DwkWBuQNBV" width="690" height="204" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/a/5/a5778856d35076e91fbc6147c1162cf67aec0313_2_690x204.png, https://discuss.pytorch.org/uploads/default/original/3X/a/5/a5778856d35076e91fbc6147c1162cf67aec0313.png 1.5x, https://discuss.pytorch.org/uploads/default/original/3X/a/5/a5778856d35076e91fbc6147c1162cf67aec0313.png 2x" data-dominant-color="FCFCFC"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">932×276 6.59 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>