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Inception [1] is a family of convolutional neural network (CNN) for computer vision, introduced by researchers at Google in 2014 as GoogLeNet (later renamed Inception v1).). The series was historically important as an early CNN that separates the stem (data ingest), body (data processing), and head (prediction), an architectural design that persists in all modern
Value-added modeling (also known as value-added measurement, value-added analysis and value-added assessment) is a method of teacher evaluation that measures the teacher's contribution in a given year by comparing the current test scores of their students to the scores of those same students in previous school years, as well as to the scores of other students in the same grade.
TNTP, formerly known as The New Teacher Project, is an organization in the United States with a mission of ensuring that poor and minority students get equal access to effective teachers. It helps urban school districts and states recruit and train new teachers, staff challenged schools, design evaluation systems, and retain teachers who have ...
The Inception Score (IS) is an algorithm used to assess the quality of images created by a generative image model such as a generative adversarial network (GAN). [1] The score is calculated based on the output of a separate, pretrained Inception v3 image classification model applied to a sample of (typically around 30,000) images generated by the generative model.
READ 180 provides tools to these students and their teachers to improve their reading performance. [ 8 ] READ 180 is a balanced literacy program, which creates an even balance between the time that is devoted to activities based on skills, like phonemic awareness and phonics, and activities based on literature, like making an inference.
The Fréchet inception distance (FID) is a metric used to assess the quality of images created by a generative model, like a generative adversarial network (GAN) [1] or a diffusion model. [ 2 ] [ 3 ] The FID compares the distribution of generated images with the distribution of a set of real images (a "ground truth" set).
The teacher might question students and help them formulate their thinking into general guidelines for estimation, such as "start by estimating the sum of the highest place-value numbers". As others come to the front of the room to work their way through problems out loud, students can generate and test more rules". [18]
A Praxis test is one of a series of American teacher certification exams written and administered by the Educational Testing Service. Various Praxis tests are usually required before, during, and after teacher training courses in the U.S. To be a teacher in about half of the states in the US, the Praxis test is required.