稀疏自编码器 当然,我们还可以继续加上一些约束条件得到新的Deep Learning方法,如:如果在AutoEncoder的基础上加上 L1 的正则限制(L1主要是约束每一层中的节点中大部分都要为0,只有少数不为0,这就是Sparse名字的来源),我们就可以得到Sparse AutoEncoder法。 上面公式中:h是编码 如上图,其实就是限制每次得到的表达...
[5] X. Lu, Y. Tsao, S. Matsuda, and C. Hori, Speech enhancement based on deep denoising autoencoder. , in Proc. Interspeech, 2013, vol. 2013, pp. 436 440. [6] Y. Xu, J. Du, L.-R. Dai, and C.-H. Lee, A regression approach to speech enhancement based on deep neural ne...
(damaged_sentence, original_sentence) pairs none DenoisingAutoEncoderLoss (sentence_A, sentence_B) pairs class SoftmaxLoss (anchor, positive) pairs none MultipleNegativesRankingLossCachedMultipleNegativesRankingLossMultipleNegativesSymmetricRankingLossCachedMultipleNegativesSymmetricRankingLossMegaBatchMarginLossGISTEm...
MultiRNNCell(cells) # Here, the encoder and the decoder uses the same cell, HOWEVER, # the weights aren't shared among the encoder and decoder, we have two # sets of weights created under the hood according to that function's def. dec_outputs, dec_memory = tf.nn.seq2seq.basic_rnn_...
When a hidden unit is reinitialized, its outgoing weights are initialized to zero. Initializing the outgoing weights as zero ensures that the newly added hidden units do not affect the already learned function. However, initializing the outgoing weight to zero makes the new unit vulnerable to immed...
4.2.7 Objective function Only a few papers have reported the loss function applied in the study. We find that cross-entropy loss (or logarithmic loss) was the most common objective function for optimization. Aside from traditional cross-entropy loss, a weighted loss function was applied to accou...
When a hidden unit is reinitialized, its outgoing weights are initialized to zero. Initializing the outgoing weights as zero ensures that the newly added hidden units do not affect the already learned function. However, initializing the outgoing weight to zero makes the new unit vulnerable to immed...
Additionally, we explored the integration of Transformer and CTC loss function for non-autoregressive Chinese-Braille translation. The encoder takes Chinese sequences as input, while the decoder takes the expanded Chinese sequences to predict the corresponding Braille sequence. 5.2.2. Training and ...
We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
anything using 16bit floats is using tensor cores, but as their intended Tensor matrix function, no, because DirectX doesn't have a way to use it in a build outside of the insider channel. That's really interesting to learn about the different uses for Tensor cores, thanks...