Our goal is to create a awesome cartoon pony character creation website with animations, no analogues at the moment, we are always developing the website for its novelty and coolness. We are part of a brony fandom with a desire to do something cool for the whole world. We will also be...
Bigram (one character predicts the next one with a lookup table of counts) MLP, followingBengio et al. 2003 CNN, followingDeepMind WaveNet 2016(in progress...) RNN, followingMikolov et al. 2010 LSTM, followingGraves et al. 2014 GRU, followingKyunghyun Cho et al. 2014 ...
Make them stop worshiping MLP as if it were a religion. Get rid of all the cringe compilations. Stop the shipping wars. Make them stop insulting and swearing at strangers online just to defend their fellow bronies and pegasisters. Get rid of all the crossover and incest ships. Make them...
My Little Ponyhas been around for a while and shows no signs of going anywhere. And that means that MLP cosplay is going to be a con staple for years to come (check ourMy Little Pony costume guidesto see what we mean). This also means that cutie mark patches and pins are likely to...
What they should do, is make this series go for 9 seasons (just like FIM did), and then make a trilogy of movies (theatrical, I do not want Netflix to take over) that can explain the overall timeline of all canon MLP generations and reveal the MLP multiverse (which has at least 3...
libavdevice/v4l2.c:1054:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 251 [-Wformat-truncation=] snprintf(device_name, sizeof(device_name), "/dev/%s", entry->d_name);
Strawberry Shortcake This is a FANTASTIC series! It's better than trash MLP:FIM. Even the news designs look good, and the black girl who's an orange is my favorite character Jaroo.com 0 Bad Luck Brian Bad Luck Brian is a popular internet meme consisting of a blonde teenage boy's Year...
)) m = self.mlp self.mlpf = lambda x: m.c_proj(F.tanh(m.c_fc(x))) # MLP forward def forward(self, x): x = x + self.cbow(x) x = x + self.mlpf(x) return x class BoW(nn.Module): """ takes the previous block_size tokens, encodes them with a lookup table, also ...
"n_embd = 24 # the dimensionality of the character embedding vectors\n", "n_hidden = 128 # the number of neurons in the hidden layer of the MLP\n", "model = Sequential([\n", " Embedding(vocab_size, n_embd),\n", " FlattenConsecutive(2), Linear(n_embd * 2, n_hidden, bias=...
"n_embd = 24 # the dimensionality of the character embedding vectors\n", "n_hidden = 128 # the number of neurons in the hidden layer of the MLP\n", "model = Sequential([\n", " Embedding(vocab_size, n_embd),\n", " FlattenConsecutive(2), Linear(n_embd * 2, n_hidden, bias=...