* **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 }

            }
        }
    }

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

            }
        }
    }

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

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

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

For example, consider a MinIO deployment behind a proxy `https://minio.example.net`, `https://console.minio.example.net` with rules for forwarding traffic on port :9000 and :9001 to MinIO and the MinIO Console respectively on the internal network. Set `MINIO_BROWSER_REDIRECT_URL` to `https://console.minio.example.net` to ensure the browser receives a valid reachable URL.

    fun Response.hasVaryAll(): Boolean = "*" in headers.varyFields()

    /**
     * Returns the names of the request headers that need to be checked for equality when caching.
     */
    private fun Headers.varyFields(): Set<String> {
      var result: MutableSet<String>? = null
      for (i in 0 until size) {
        if (!"Vary".equals(name(i), ignoreCase = true)) {
          continue
        }

        val value = value(i)

     * We should probably not have implemented equals() at all, but given that we did, we can't
     * provide a better implementation than the input Collection, at least without dramatic changes
     * like copying it to a new Set—which might then test for element equality differently.
     */
    @SuppressWarnings("UndefinedEquals")
    public boolean equals(@Nullable Object obj) {
      if (obj instanceof InPredicate) {

        try {
            negotiate(port, resp);
        } catch (final ConnectException | NoRouteToHostException nr) {
            // Try an alternate port if there was an issue communicating to the server
            // Only set the alternate port to the port property if it was successful
            final int altPort = port == 0 || port == DEFAULT_PORT ? 139 : DEFAULT_PORT;
            negotiate(altPort, resp);
            port = altPort;
        }

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

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

            }
        }
    }

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