precision representation. The quantized sine wave is a low precision representation which takes integer values in the range [0, 5]. As a result, the quantized wave requires low transmission bandwidth. b-bit unsigned integer for storing x. A b-bit unsigned integer will have 2b possible distinct values, ranging from 0 to 2b - 1. To go from a 32-bit floating point value to a b-bit integer, and back again We have the <= in the low precision domain, because we are losing precision when going to a b-bit integer and as a result values which were close in the high precision domain might end up being mapped to

order of their frequencies, and assigns them an index. This process of mapping free form inputs to integer sequences is known as vectorization, as introduced in the Word2Vec subsection. The TextVectorization in accuracy. Hence, this is a trade-off. We also ensure that the tokenized input results in an integer sequence with exactly 250 tokens. This might mean padding short texts with padding tokens and truncating string is transformed into a sequence of integer ids. The maximum sequence length is 100. Therefore, for every input string, the embedding layer would receive 100 integer ids, and it would return a tensor of

工程优化: 千亿特征优化 模型蒸馏 AVX/SSE优化 Graph优化 [User Graph去重] 内存Allocate优化 ParallelStringOp [split/type conversion] Sequence Feature [side info] Op Fusion [hash + embedding] Overlap Execution [FG OP化] Item

– Data Type Data type dtype tensor 32-bit floating point torch.float torch.FloatTensor 64-bit integer (signed) torch.long torch.LongTensor see official documentation for more information on data types

of the quantization process: mapping of continuous high-precision values to discrete fixed-point integer values. Another example is Pruning (see Figure 1-9), where weights that are not important for the

CNNCell(): """ It composes a cell based on the input configuration. Arguments: stride: A positive integer to represent the convolution strides. Normal cells use stride=1 and reduction cells use stride=2

because they are both birds. 19 Typically, hard labels take float values as well. We have used integer values to improve readability. Distillation captures the relationship between classes which is not

activity_regularizer=None, kernel_constraint=None, bias_constraint=None) Here,  strides refer an integer specifying the strides of the convolution along the height and width. Pooling Layer It is used

_keras_history: 应用于张量的最后一层。整个网络层计算图可以递归地从该层中检索。 参数 • shape: 一个尺寸元组（整数），不包含批量大小。A shape tuple (integer), not including the batch size. 例如，shape=(32,) 表明期望的输入是按批次的 32 维向量。 • batch_shape: 一个尺寸元组（整数）， int_shape(kvar) (2, 2) ndim keras.backend.ndim(x) 以整数形式返回张量中的轴数。 参数 • x: 张量或变量。 后端 BACKEND 182 返回 Integer (scalar), number of axes. 例子 >>> from keras import backend as K >>> inputs = K.placeholder(shape=(2