* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

import com.google.common.truth.IterableSubject;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.io.Serializable;
import java.lang.reflect.Constructor;
import java.lang.reflect.Field;
import java.lang.reflect.GenericArrayType;
import java.lang.reflect.Method;
import java.lang.reflect.ParameterizedType;
import java.lang.reflect.Type;
import java.lang.reflect.TypeVariable;

                    while (blockingForRefresh.isAlive()
                        && blockingForRefresh.getState() != WAITING) {
                      Thread.yield();
                    }

                    return key + "Reload";
                  });
            }
          };
      LocalCache<String, String> cache = makeLocalCache(builder, loader);

                    while (blockingForRefresh.isAlive()
                        && blockingForRefresh.getState() != WAITING) {
                      Thread.yield();
                    }

                    return key + "Reload";
                  });
            }
          };
      LocalCache<String, String> cache = makeLocalCache(builder, loader);

		case toSend = <-c.outQueue:
			if len(toSend) == 0 {
				continue
			}
		}
		if len(queue) < maxMergeMessages && queueSize+len(toSend) < writeBufferSize-1024 {
			if len(c.outQueue) == 0 {
				// Yield to allow more messages to fill.
				runtime.Gosched()
			}
			if len(c.outQueue) > 0 {
				queue = append(queue, toSend)
				queueSize += len(toSend)
				continue
			}
		}

  - Added `allocatedResources` field to container status in pod status that describes the node resources allocated to a pod.
  - Added `resources` field to container status that reports actual resources applied to running containers.
  - Added `resize` field to pod status that describes the state of a requested pod resize.

labels.order=順番
labels.purgeSuggestSearchLogDay=以前のサジェスト情報を削除
labels.q=クエリー
labels.roles=ロール
labels.suggestSearchLog=サジェスト用検索ログ
labels.suggestWord=サジェストワード
labels.targetLabel=ラベル
labels.term=検索語
labels.fields=フィールド
labels.ex_q=拡張クエリー
labels.oldPassword=現在のパスワード
labels.newPassword=新しいパスワード
labels.confirmNewPassword=新しいパスワード(確認)

labels.menu_system=システム
labels.menu_wizard=ウィザード
labels.menu_crawl_config=全般

    one timeout period.

    Use `OkHttpClient.Builder.callTimeout()` to specify the default duration and `Call.timeout()` to
    specify the timeout of an individual call.

 *  New: Return values and fields are now non-null unless otherwise annotated.
 *  New: `LoggingEventListener` makes it easy to get basic visibility into a call's performance.
    This class is in the `logging-interceptor` artifact.

    /** The key of the message: Term */
    public static final String LABELS_TERM = "{labels.term}";

    /** The key of the message: Fields */
    public static final String LABELS_FIELDS = "{labels.fields}";

    /** The key of the message: Extended Query */
    public static final String LABELS_ex_q = "{labels.ex_q}";

    /** The key of the message: LDAP URL */

          Entry<K, V> onlyEntry = requireNonNull(entries[0]);
          return of(onlyEntry.getKey(), onlyEntry.getValue());
        default:
          break;
      }
      // localEntries is an alias for the entries field, except if we end up removing duplicates in
      // a copy of the entries array. Likewise, localSize is the same as size except in that case.