Learn to program neural networks with TensorFlow Return to playlist Fill-in-the-blanks Enter one or more words to complete the sentence. When using model.predict, you may get an answer close to, but not exactly what you expect. You can attribute that to neural networks generally dealing in ___ . Match the following parameters and layers with their respective descriptions. Each answer only matches one item. Sequential If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Flatten If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Dense If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Activation function If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons ReLU If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Softmax If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Fill-in-the-blanks Enter one or more words to complete the sentence. ___ reduces the overall amount of information in an image while maintaining the detected features as present. Overfitting occurs as a result of a neural network trained with ___ . an abundance of epochs limited epochs an abundance of data limited data Submit answers error_outline An error occurred when grading the quiz. Try again later.

Learn to program neural networks with TensorFlow Return to playlist Fill-in-the-blanks Enter one or more words to complete the sentence. When using model.predict, you may get an answer close to, but not exactly what you expect. You can attribute that to neural networks generally dealing in ___ . Match the following parameters and layers with their respective descriptions. Each answer only matches one item. Sequential If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Flatten If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Dense If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Activation function If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons ReLU If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Softmax If X>0 returns X, else returns 0 Defines the order of layers within a neural network Takes a set of values and helps you pick the biggest one Tells a layer of neurons what to do Turns a multidimensional vector into a one-dimensional vector Adds a densely connected layer of neurons Fill-in-the-blanks Enter one or more words to complete the sentence. ___ reduces the overall amount of information in an image while maintaining the detected features as present. Overfitting occurs as a result of a neural network trained with ___ . an abundance of epochs limited epochs an abundance of data limited data Submit answers error_outline An error occurred when grading the quiz. Try again later.