kunci115

https://www.instagram.com/reel/CxBfDy5yK4O/?igshid=NzZhOTFlYzFmZQ==

kunci115

# Created by https://www.toptal.com/developers/gitignore/api/osx,java,eclipse,intellij,maven
# Edit at https://www.toptal.com/developers/gitignore?templates=osx,java,eclipse,intellij,maven

### Eclipse ###
.metadata
bin/
tmp/
*.tmp
*.bak

kunci115

import json
dict1 = {
  "utter_agent.acquaintance": {
      "en": {
         "content": {
            "type": "sound_text",
            "elements": [
               "I'm a virtual agent",
               "Think of me as a virtual agent.",
               "Well, I'm not a person, I'm a virtual agent.",

kunci115

version: '3'
services:
  mongo:
    image: mongo:4.0.3
    environment:
        - MONGO_DATA_DIR=/data/db
        - MONGO_LOG_DIR=/dev/null
    volumes:
        - ./data/db:/data/db
    ports:

kunci115

##
# You should look at the following URL's in order to grasp a solid understanding
# of Nginx configuration files in order to fully unleash the power of Nginx.
# https://www.nginx.com/resources/wiki/start/
# https://www.nginx.com/resources/wiki/start/topics/tutorials/config_pitfalls/
# https://wiki.debian.org/Nginx/DirectoryStructure
#
# In most cases, administrators will remove this file from sites-enabled/ and
# leave it as reference inside of sites-available where it will continue to be
# updated by the nginx packaging team.

kunci115

vocab_size = ...
src_txt_length = ...
sum_txt_length = ...
# encoder input model
inputs = Input(shape=(src_txt_length,))
encoder1 = Embedding(vocab_size, 128)(inputs)
encoder2 = LSTM(128)(encoder1)
encoder3 = RepeatVector(sum_txt_length)(encoder2)
# decoder output model
decoder1 = LSTM(128, return_sequences=True)(encoder3)