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 tokenize, by truncating # the rest of the sequence. max_seq_len = 100 vectorization_layer = tf.keras.layers.TextVectorization( max_tokens=vocab_size, output_sequence_length=max_seq_len) Once we have initialized are confident will not be in the vocabulary. edl_sequence_output = vectorization_layer( [['efficient deep learning x123!']]).numpy()[0, :4] edl_sequence_output array([ 1, 1379, 1585, 1]) The code snippet

stream S1 and stream S2 11 Vasiliki Kalavri | Boston University 2020 Operator types (II) • Sequence Operators capture the arrival of an ordered set of events. • common in pattern languages • events stream is a sequence of unbounded length, where tuples are ordered by their arrival time. Sequence: Let t1, … ,tn be tuples from a relation R. The list S = [t1, … ,tn] is called a sequence, of length The empty sequence [ ] has length 0. We use t ∈ S to denote that, for some 1 ≤ i ≤ n, ti = t. 23 Vasiliki Kalavri | Boston University 2020 Model and formalization (II) Pre-sequence (prefix): Let

time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a dtype: float64 1.15.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a dtype: float64 1.14.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 6.2.4 text_to_word_sequence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 6.3 图像预处理 . . . . . . . . . . . HDF5Matrix [source] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 20.3 Sequence [source] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236 20.4 to_categorical 这是基于之前定义的视觉模型（权重被重用）构建的视频编码 encoded_frame_sequence = TimeDistributed(vision_model)(video_input) # 输出为向量的序列 encoded_video = LSTM(256)(encoded_frame_sequence) # 输出为一个向量 # 这是问题编码器的模型级表示，重复使用与之前相同的权重：

time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a Release 0.15.2 1.19.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a Release 0.15.1 1.18.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a g -0.566048 1.4.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__ DataFrame (PR296) • Added Series.isin function which checks if each value is contained in a passed sequence (GH289) • Added float_format option to Series.to_string • Added skip_footer (GH291) and converters

completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a 790509 g 1.109413 1.2.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__ DataFrame (PR296) • Added Series.isin function which checks if each value is contained in a passed sequence (GH289) • Added float_format option to Series.to_string 1.3. v.0.6.1 (December 13, 2011) 9 pandas:

completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a 790509 g 1.109413 1.3.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__ DataFrame (PR296) • Added Series.isin function which checks if each value is contained in a passed sequence (GH289) • Added float_format option to Series.to_string • Added skip_footer (GH291) and converters