Did I find the right examples for you? yes no      Crawl my project      Python Jobs

All Samples(9)  |  Call(9)  |  Derive(0)  |  Import(0)

src/p/y/pylearn2-HEAD/pylearn2/scripts/show_binocular_greyscale_examples.py   pylearn2(Download)
 
    if out is None:
        pv.show()
    else:
        pv.save(out)

src/p/y/pylearn2-HEAD/pylearn2/scripts/show_examples.py   pylearn2(Download)
 
    if out is None:
        pv.show()
    else:
        pv.save(out)

src/p/y/pylearn2-HEAD/pylearn2/scripts/dbm/show_samples.py   pylearn2(Download)
            if mapback:
                pv.add_patch(mapped_batch[row_start+j,:,:,:], rescale = False)
    pv.show()
 
 

src/p/y/pylearn2-HEAD/pylearn2/scripts/dbm/top_filters.py   pylearn2(Download)
pv = make_viewer(prod.T)
if out_prefix is None:
    pv.show()
else:
    pv.save(out_prefix+"_prod.png")
 
if out_prefix is None:
    pv.show()
else:
    pv.save(out_prefix+".png")

src/p/y/pylearn2-HEAD/pylearn2/scripts/dbm/show_reconstructions.py   pylearn2(Download)
                    mapped_r_batch[row_start+j,:,:,:].copy(),
                    mapped_batch[row_start+j,:,:,:].copy()),rescale = False)
    pv.show()
 
 

src/p/y/pylearn2-HEAD/pylearn2/scripts/datasets/step_through_norb_foveated.py   pylearn2(Download)
    pv.add_patch(patch[:,:,0], rescale=False)
 
    pv.show()
 
    print dataset.y[i]

src/p/y/pylearn2-HEAD/pylearn2/scripts/dbm/show_negative_chains.py   pylearn2(Download)
    pv.add_patch(vis_chains[i,:], rescale = False)
 
pv.show()
 

src/t/h/theano_exercises-HEAD/04_machine_learning/02_autoencoder/show_reconstructions.py   theano_exercises(Download)
    pv.add_patch(X[i, :, :, :] - 0.5)
    pv.add_patch(R[i, :, :, :] - 0.5)
pv.show()