* **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.

### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }

    Proxy->>Server: HTTP Request<br/>X-Forwarded-For: [client IP]<br/>X-Forwarded-Proto: https<br/>X-Forwarded-Host: mysuperapp.com<br/>Path: /items

    Note over Server: Server interprets headers<br/>(if --forwarded-allow-ips is set)

    Server->>Proxy: HTTP Response<br/>with correct HTTPS URLs

    Proxy->>Client: HTTPS Response
```

**プロキシ** は元のクライアントリクエストを受け取り、**アプリケーションサーバー** に渡す前に特別な「転送」ヘッダー（`X-Forwarded-*`）を追加します。

            }
        }
    }

    // ===================================================================================
    //                                                                           Query Set
    //                                                                           =========
    public void setId_Equal(String id) {
        setId_Term(id, null);
    }

            }
        }
    }

    // ===================================================================================
    //                                                                           Query Set
    //                                                                           =========
    public void setId_Equal(String id) {
        setId_Term(id, null);
    }

            }
        }
    }

    // ===================================================================================
    //                                                                           Query Set
    //                                                                           =========
    public void setId_Equal(String id) {
        setId_Term(id, null);
    }

	// check empty or full
	if rb.IsEmpty() {
		t.Fatalf("expect IsEmpty is false but got true")
	}
	if !rb.IsFull() {
		t.Fatalf("expect IsFull is true but got false")
	}

	// reset this ringbuffer and set a long slice
	rb.Reset()
	n, err = rb.Write([]byte(strings.Repeat("abcd", 20)))
	if err == nil {
		t.Fatalf("expect ErrTooManyDataToWrite but got nil")
	}
	if n != 64 {

		_, err := remoteConn.Request(t.Context(), handlerTest, []byte(testPayload))
		if _, ok := err.(*RemoteErr); !ok {
			t.Fatalf("Unexpected error: %v, %T", err, err)
		}
		// Streams should not be able to set up until registered.
		// Thus, the error is a local error.
		_, err = remoteConn.NewStream(t.Context(), handlerTest, []byte(testPayload))
		if !errors.Is(err, ErrUnknownHandler) {

            }
        }
    }

    // ===================================================================================
    //                                                                           Query Set
    //                                                                           =========
    public void setId_Equal(String id) {
        setId_Term(id, null);
    }

When writing request headers, use `header(name, value)` to set the only occurrence of `name` to `value`. If there are existing values, they will be removed before the new value is added. Use `addHeader(name, value)` to add a header without removing the headers already present.

    // ===================================================================================
    //                                                                     Aggregation Set
    //                                                                           =========

    public void filter(String name, EsAbstractConditionQuery.OperatorCall<BsElevateWordCQ> queryLambda,