ErrorException Message: Argument 2 passed to WP_Translation_Controller::load_file() must be of the type string, null given, called in /homepages/23/d949784577/htdocs/clickandbuilds/Neuralnetlab/wp-includes/l10n.php on line 838 https://neuralnetlab.com/wp-content/plugins/dmca-badge/libraries/sidecar/classes/{"id":439,"date":"2021-08-26T23:08:52","date_gmt":"2021-08-26T23:08:52","guid":{"rendered":"https:\/\/neuralnetlab.com\/?p=439"},"modified":"2022-02-08T17:19:18","modified_gmt":"2022-02-08T17:19:18","slug":"keras-flatten-dnn-example","status":"publish","type":"post","link":"https:\/\/neuralnetlab.com\/keras-flatten-dnn-example\/","title":{"rendered":"Keras Flatten with a DNN example in Python"},"content":{"rendered":"\n
Keras flatten class is very important when you have to deal with multi-dimensional inputs such as image datasets. keras.layers.flatten<\/strong> function flattens the multi-dimensional input tensors into a single dimension, so you can structure your input layer and build your neural network model, then pass those data into every single neuron of the model effectively. Note that the flattened array elements do not include the batch dimension.<\/p>\n\n\n\n
To understand the concept thoroughly let us use a practical example using the Fashion MNIST dataset.<\/p>\n\n\n\n