Learn to program neural networks with TensorFlow  |  Google for Developers Skip to main content Community/Events Learn Blog YouTube / English Deutsch Español Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 Sign in Community/Events Learn Blog YouTube Stay organized with collections Save and categorize content based on your preferences. Learn to program neural networks with TensorFlow Return to pathway 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 X0 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 X0 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 X0 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 X0 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 X0 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 X0 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. Please try again. [[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[],[]] Connect Blog Bluesky Instagram LinkedIn X (Twitter) YouTube Programs Google Developer Program Google Developer Groups Google Developer Experts Accelerators Google Cloud & NVIDIA Developer consoles Google API Console Google Cloud Platform Console Google Play Console Firebase Console Actions on Google Console Cast SDK Developer Console Chrome Web Store Dashboard Google Home Developer Console Android Chrome Firebase Google Cloud Platform Google AI All products Terms Privacy Manage cookies English Deutsch Español Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어