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Python 2022-03-27 11:30:13
tensorboardx
# demo.py import torch import torchvision.utils as vutils import numpy as np import torchvision.models as models from torchvision import datasets from tensorboardX import SummaryWriter resnet18 = models.resnet18(False) writer = SummaryWriter() sample_ra... Add solution -
Other 2022-02-27 09:30:06
flutter web show html
There is a HTMLElementView widget which can help you embed Html in flutter web. This widget can take an Iframe and render it. If you don't prefer Iframe then you can embed simply a BodyElement from the dart:html library directly. An example of embedd... Add solution -
Other 2022-02-27 07:45:02
embedding dimensionality in Rnn
[[6, 2], [3, 1], [7, 4], [8, 1], [9], [10], [5, 4], [11, 3], [5, 1], [12, 13, 2, 14]] [[ 6 2 0 0] [ 3 1 0 0] [ 7 4 0 0] [ 8 1 &nbs... Add solution -
Other 2021-11-19 13:00:19
lstm multiclass model in keras
# The maximum number of words to be used. (most frequent)MAX_NB_WORDS = 50000# Max number of words in each complaint.MAX_SEQUENCE_LENGTH = 250# This is fixed.EMBEDDING_DIM = 100tokenizer = Tokenizer(num_words=MAX_NB_WORDS, filters='!"#$%&()*+,-./... Add solution -
Python 2021-11-19 11:06:16
Encoder LSTM
class Encoder(nn.Module): def __init__(self, vocab_len, embedding_dim, hidden_dim, n_layers, dropout_prob): super().__init__() s... Add solution -
Python 2021-11-08 23:29:11
spacy text annotation dict comprehension
import spacy nlp = spacy.load('en_core_web_sm') # or some other model text_to_be_annotated = nlp('Put your long to-be-annotated text here') # pos: part-of-speech tagging # lemma: base form of the word # vector: embedding of the token (optional) annotate... Add solution -
Python 2021-10-27 18:39:11
word embeddings sklearn
from sklearn.linear_model import LogisticRegresion from zeugma.embeddings import EmbeddingTransformer glove = EmbeddingTransformer('glove') x_train = glove.transform(corpus_train) model = LogisticRegression() model.fit(x_train, y_train) x_test = glove.... Add solution