MokkeMeguru

// TestDataSetIterator.java
// ver 1.0.0-beta
import org.datavec.api.records.reader.SequenceRecordReader;
import org.datavec.api.records.reader.impl.csv.CSVSequenceRecordReader;
import org.datavec.api.split.FileSplit;
import org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;

import java.io.File;
import java.io.IOException;

MokkeMeguru

// TestDataSetIterator.java
// ver 1.0.0-beta

import org.datavec.api.records.reader.SequenceRecordReader;
import org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader;
import org.datavec.api.writable.IntWritable;
import org.datavec.api.writable.Writable;
import org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator;
import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;

MokkeMeguru

@misc{1605.06069,
Author = {Iulian Vlad Serban and Alessandro Sordoni and Ryan Lowe and Laurent Charlin and Joelle Pineau and Aaron Courville and Yoshua Bengio},
Title = {A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues},
Year = {2016},
Eprint = {arXiv:1605.06069},
}
@misc{1507.02221,
Author = {Alessandro Sordoni and Yoshua Bengio and Hossein Vahabi and Christina Lioma and Jakob G. Simonsen and Jian-Yun Nie},
Title = {A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion},
Year = {2015},

MokkeMeguru

;; -*- mode: emacs-lisp -*-
;; This file is loaded by Spacemacs at startup.
;; It must be stored in your home directory.

(defun dotspacemacs/layers ()
  "Configuration Layers declaration.
You should not put any user code in this function besides modifying the variable
values."
  (setq-default
   ;; Base distribution to use. This is a layer contained in the directory

MokkeMeguru

Environment

Manjaro Linux Budgie 18.0.4 (dual boot with windows)

Pros

I also can use this input method on Emacs like Emacs keybinding.

fcitx-configtool

入力メソッド

• キーボード- 英語 (US)
• MOZC

MokkeMeguru

acpi 1.7-2
acpid 2.0.31-1
adwaita-icon-theme 3.32.0-1
alsa-firmware 1.0.29-2
alsa-utils 1.1.9-1
arandr 0.1.10-3
autoconf 2.69-5
automake 1.16.1-1
avahi 0.7+18+g1b5f401-2
b43-fwcutter 019-2

MokkeMeguru

<template>
  <v-container>
    <v-btn to="/add" fixed dark fab bottom right color="pink">
      <v-icon>mdi-plus</v-icon>
    </v-btn>
    <v-layout wrap>
      <v-flex md-12>
        <div v-if="sortedTodos.length === 0" class="headline text-center my-12">
          <v-icon>mdi-anchor</v-icon>
          <span class="pl-2 pr-2">[タスク]は空です</span>

MokkeMeguru

import tensorflow as tf
import tensorflow_probability as tfp
import tensorflow_probability.python.bijectors as tfb
import tensorflow_probability.python.distributions as tfd


def trainable_lu_factorization(event_size,
                               trainable=True,
                               batch_shape=(),
                               seed=None,

MokkeMeguru

import tensorflow as tf
import tensorflow_probability as tfp
import tensorflow_probability.python.bijectors as tfb
import tensorflow_probability.python.distributions as tfd


def main():
    random_matrix = tf.Variable(tf.random.uniform(shape=[2, 28, 28]),
                                trainable=True,
                                name='weights')

MokkeMeguru

;; -*- mode: emacs-lisp -*-

;; it's a function for lsp connection in docker
;; ----------
;; (lsp-register-client
;;  (make-lsp-client :new-connection (lsp-tramp-connection "pyls")
;;                   :major-modes '(python-mode)
;;                   :remote? t
;;                   :server-id 'pyls-remote))
;; ----------