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The demonstrators were able to create a browser game in JavaScript and generate data science charts using matplotlib. A very powerful language model called OpenAI Codex was created expressly to generate code in response to natural language commands.
Generator matrix. In coding theory, a generator matrix is a matrix whose rows form a basis for a linear code. The codewords are all of the linear combinations of the rows of this matrix, that is, the linear code is the row space of its generator matrix.
The following code, excerpted from the function magic.m, creates a magic square M for odd values of n (MATLAB function meshgrid is used here to generate square matrices I and J containing ): [J,I] = meshgrid(1:n); A = mod(I + J - (n + 3) / 2, n); B = mod(I + 2 * J - 2, n); M = n * A + B + 1;
MATLAB + Deep Learning Toolbox (formally Neural Network Toolbox) MathWorks: 1992 Proprietary: No Linux, macOS, Windows: C, C++, Java, MATLAB: MATLAB: No No Train with Parallel Computing Toolbox and generate CUDA code with GPU Coder: No Yes: Yes: Yes: Yes: Yes With Parallel Computing Toolbox: Yes Microsoft Cognitive Toolkit (CNTK)
A number of MathWorks and third-party tools can be used with Stateflow to validate the design and generate code. For example, Simulink Verification and Validation, a MathWorks tool, can be used to check for requirements traceability and model coverage analysis.
Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX.
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