* L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.

* **Machine Learning**: normalmente requiere muchas multiplicaciones de "matrices" y "vectores". Piensa en una enorme hoja de cálculo con números y multiplicando todos juntos al mismo tiempo.

### Major Features and Improvements

*   Added F-Score metrics `tf.keras.metrics.FBetaScore`, `tf.keras.metrics.F1Score`, and `tf.keras.metrics.R2Score`.
*   Added activation function `tf.keras.activations.mish`.

				MetricV2{
					Description: getMinioProcessIOReadBytesMD(),
					Value:       float64(io.ReadBytes),
				})
		}

		if io.WriteBytes > 0 {
			metrics = append(metrics,
				MetricV2{
					Description: getMinioProcessIOWriteBytesMD(),
					Value:       float64(io.WriteBytes),
				})
		}

		if io.RChar > 0 {
			metrics = append(metrics,
				MetricV2{

// server lists all metrics that could be returned for the requested path.
//
// The (repeatable) `buckets` query parameter is a list of bucket names (or it
// could be a comma separated value) to return metrics with a bucket label.
// Bucket metrics will be returned only for the provided buckets. If no buckets
// parameter is provided, no bucket metrics are returned.

	// Queued operations
	Queued InQueueMetric `json:"queued"`
	// Proxy stats
	Proxied ProxyMetric `json:"proxied"`
	// replication metrics summary for each site replication peer
	Metrics map[string]SRMetric `json:"replMetrics"`
	// uptime of node being queried for site replication metrics
	Uptime int64 `json:"uptime"`

	deletes := make([]uint64, len(infos))
	writes := make([]uint64, len(infos))
	for index, di := range infos {
		deletes[index] = di.Metrics.TotalDeletes
		writes[index] = di.Metrics.TotalWrites
	}

	filter := func(list []uint64) (commonCount uint64) {
		maxCnt := 0
		signatureMap := map[uint64]int{}
		for _, v := range list {
			signatureMap[v]++
		}

            SmbCircuitBreaker.CircuitBreakerMetrics metrics = cbWithMetrics.getMetrics();
            assertNotNull(metrics, "Metrics should be available");
            assertEquals(3, metrics.totalRequests(), "Should have 3 requests");
            assertEquals(3, metrics.totalSuccesses(), "Should have 3 successes");
            assertEquals(0, metrics.totalFailures(), "Should have 0 failures");

        } finally {

				hd := hi.toHealingDisk()
				di.HealInfo = &hd
			}
			di.Metrics = &madmin.DiskMetrics{
				LastMinute:              make(map[string]madmin.TimedAction, len(info.Metrics.LastMinute)),
				APICalls:                make(map[string]uint64, len(info.Metrics.APICalls)),
				TotalErrorsAvailability: info.Metrics.TotalErrorsAvailability,
				TotalErrorsTimeout:      info.Metrics.TotalErrorsTimeout,
				TotalWaiting:            info.Metrics.TotalWaiting,

        lastFailureTimes.put(key, System.currentTimeMillis());
        consecutiveFailures.computeIfAbsent(key, k -> new AtomicInteger(0)).incrementAndGet();

        ConnectionMetrics metrics = connectionMetrics.get(key);
        if (metrics != null) {
            metrics.recordFailure();
        }
    }

    /**
     * Record connection success for recovery tracking
     */
    private void recordConnectionSuccess(String key) {