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- Block-based Processing Description: Block-based processing is a technique used in convolutional neural networks (CNNs) that involves dividing images or data into(...) Read more
- Batch Validation Description: Batch validation is a crucial process in the field of machine learning, used to evaluate the performance of a trained model. This(...) Read more
- Binarized Activation Description: Binarized activation is an activation function that transforms the outputs of a neural network into binary values, typically 0 or(...) Read more
- Bi-directional LSTM Description: Bidirectional LSTMs (Long Short-Term Memory) are a type of recurrent neural network characterized by their ability to process data(...) Read more
- Binarized Weights Description: Binarized weights in convolutional neural networks are parameters that are limited to two possible values, typically -1 and +1,(...) Read more
- BPTT Description: BPTT, which stands for Backpropagation Through Time, is a fundamental technique for training recurrent neural networks (RNNs). This(...) Read more
- Bayesian RNN Description: Bayesian Recurrent Neural Networks (RNNs) are a type of recurrent neural network that combines the structure of recurrent neural(...) Read more
- Bilinear RNN Description: A bilinear RNN is a type of recurrent neural network that uses bilinear transformations to model interactions between inputs and(...) Read more
- BPTT Truncation Description: Truncation of BPTT (Backpropagation Through Time) is a technique used in recurrent neural networks (RNN) that limits the number of(...) Read more
- Block RNN Description: Block Recurrent Neural Networks (Block RNNs) are an advanced architecture of recurrent neural networks designed to process data in(...) Read more
- Boundary Condition Description: The 'Boundary Condition' in the context of Recurrent Neural Networks (RNNs) refers to the constraints applied to the input or(...) Read more
- Bilinear Form Description: The bilinear form is a mathematical function characterized by being linear in each of its two arguments separately. This means that(...) Read more
- Bifurcation Point Description: The 'bifurcation point' in the context of recurrent neural networks (RNNs) refers to a critical situation where a small change in(...) Read more
- BART Description: BART (Bidirectional and Auto-Regressive Transformers) is a model that combines the benefits of BERT and GPT for text generation and(...) Read more
- BigGAN Description: BigGAN is a generative adversarial network (GAN) that stands out for its ability to generate high-quality images through(...) Read more
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