How to explain peak in training history of a convolutional neural network?

I am training a simple convolutional neural network to recognize two types of 1024-point frequency spectra (FFT). This is the model I’m using: cnn = Sequential() cnn.add(Conv1D(filters=64, kernel_size=3, activation=LeakyReLU(), input_shape=(nInput,1))) cnn.add(Conv1D(filters=64, kernel_size=3, activation=LeakyReLU())) cnn.add(MaxPooling1D(pool_size=2)) cnn.add(Flatten()) cnn.add(Dense(nFinalDense, activation=LeakyReLU())) cnn.add(Dense(nOutput, activation=’sigmoid’)) However I get the following accuracy and loss during training: Why do I get the large…

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after the product is out of stock, the buttons added to the cart are hidden and replaced with special texts, for example “expired”

is there someone there who can help me? I added this code in the theme functions.php if (!function_exists(‘woocommerce_template_loop_add_to_cart’)) { function woocommerce_template_loop_add_to_cart() { global $product; if ( ! $product->is_in_stock() || ! $product->is_purchasable() ) return; woocommerce_get_template(‘loop/add-to-cart.php’); } } so my out of stock products will hide the add to basket button, and this works well but I…

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