TensorFlow.js Training Optimizers Complete Reference

TensorFlow.js Operations Arithmetic Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Arithmetic Functions: TensorFlow.js tf.add() FunctionTensorFlow.js tf.sub() FunctionTensorFlow.js tf.mul() FunctionTensorFlow.js tf.div

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TensorFlow.js Operations Basic Math Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Basic Math Functions: TensorFlow.js tf.abs() FunctionTensorFlow.js tf.acos() FunctionTensorFlow.js tf.acosh() FunctionTensorFlow.js tf.

1 min read

TensorFlow.js Operations Matrices Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Matrices Functions: TensorFlow.js tf.dot() FunctionTensorFlow.js tf.matMul() FunctionTensorFlow.js tf.norm() FunctionTensorFlow.js tf.o

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TensorFlow.js Operations Convolution Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Convolution Functions: TensorFlow.js tf.avgPool3d() FunctionTensorFlow.js tf.conv1d() FunctionTensorFlow.js tf.conv2d() FunctionTensorF

1 min read

TensorFlow.js Operations Reduction Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Reduction Functions: TensorFlow.js tf.all() FunctionTensorFlow.js tf.any() FunctionTensorFlow.js tf.argMax() FunctionTensorFlow.js tf.a

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TensorFlow.js Operations Normalization Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Normalization Functions: TensorFlow.js tf.batchNorm() FunctionTensorFlow.js tf.localResponseNormalization() FunctionTensorFlow.js tf.lo

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TensorFlow.js Operations Images Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Images Functions: TensorFlow.js tf.image.cropAndResize() FunctionTensorFlow.js tf.image.flipLeftRight() FunctionTensorFlow.js tf.image.

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TensorFlow.js Operations Logical Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Logical Functions: TensorFlow.js tf.equal() FunctionTensorFlow.js tf.greater() FunctionTensorFlow.js tf.greaterEqual() FunctionTensorFl

1 min read

TensorFlow.js Operations Evaluation Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Evaluation Functions: TensorFlow.js tf.confusionMatrix() FunctionTensorFlow.js tf.inTopKAsync() FunctionTensorFlow.js tf.topk() Functio

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Tensorflow.js tf.cumsum() Function

TensorFlow.js is a library for machine learning in JavaScript. It helps developers to develop ML models in JavaScript, and use ML directly in the browser or in Node.js. The tf.cumsum() function is used to compute the cumulative sum of a tf.Tensor along the specified axis. The meaning of exclusive cu

2 min read

TensorFlow.js Operations Slicing and Joining Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Slicing and Joining Functions: TensorFlow.js tf.gatherND() FunctionTensorFlow.js tf.meshgrid() FunctionTensorFlow.js tf.scatterND() Fun

1 min read

TensorFlow.js Operations Spectral Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Spectral Functions: TensorFlow.js tf.spectral.fft() FunctionTensorFlow.js tf.spectral.ifft() FunctionTensorFlow.js tf.spectral.irfft()

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Tensorflow.js tf.unsortedSegmentSum() Function

Tensorflow.js is an open-source library that is developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment. The .unsortedSegmentSum() function is used to calculate the sum through the parts of a tf.Tensor. Syntax: Â tf.unsorted

2 min read

Tensorflow.js tf.movingAverage() Function

Introduction: Tensorflow.js is an open-source library that is developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment. The .movingAverage() function is used to determine the moving average of a variable. Note: In absence of

2 min read

Tensorflow.js tf.dropout() Function

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. The tf.dropout() function is used to compute the dropout. You can read more about dropout from https://www.geeksforgeeks.org/dropout-i

2 min read

TensorFlow.js Operations Signal Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Signal Functions: TensorFlow.js tf.signal.frame() FunctionTensorFlow.js tf.signal.hammingWindow() FunctionTensorFlow.js tf.signal.hannW

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Tensorflow.js tf.linalg.bandPart() Function

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. It also helps the developers to develop ML models in JavaScript language and can use ML directly in the browser or in Node.js. The tf.

2 min read

Tensorflow.js tf.linalg.gramSchmidt() Function

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. The tf.linalg.gramSchmidt() function is used to orthogonalize the vectors using the Gram-Schimdt process. Syntax: tf.linalg.gramSchmid

1 min read

Tensorflow.js tf.linalg.qr() Function

Tensorflow.js is an open-source library that is developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment. It also helps the developers to develop ML models in JavaScript language and can use ML directly in the browser or in N

2 min read

TensorFlow.js Operations Sparse Complete Reference

TensorFlow.js is an open-source JavaScript library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow.js Operations Signal Functions: TensorFlow.js tf.sparseFillEmptyRows() FunctionTensorFlow.js tf.sparseReshape() FunctionTensorFlow.js tf.sparseSegmen

1 min read

TensorFlow.js Training Optimizers Complete Reference

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