mandar2812 on master
Updated TF Scala version. (compare)
mandar2812 on master
minor mods. (compare)
mandar2812 on master
Updated POMs (compare)
dependabot[bot] on maven
dependabot[bot] on maven
dependabot[bot] on maven
dependabot[bot] on maven
dependabot[bot] on npm_and_yarn
dependabot[bot] on npm_and_yarn
dependabot[bot] on npm_and_yarn
dependabot[bot] on npm_and_yarn
dependabot[bot] on npm_and_yarn
import $file.scripts.mnist
import $file.scripts.kernelModels
cifar.sc:55: reference to Tensor is ambiguous;
it is imported twice in the same scope by
import org.platanios.tensorflow.api._
and import _root_.breeze.linalg.{copy, inv, squaredDistanceLowPrio, where, Counter, MatrixConstructors, logNormalize, Counter2Like, diagLowPrio2, SliceVectorOps, csvread, minMax, diag, DenseVector, MatrixNotSymmetricException, sum, scaleAdd, BroadcastedColumns, CanPadRight, any, logAndNormalize, View, cond, eigSym, princomp, LinearAlgebraException, qrp, LU, VectorizedReduceUFunc, reverse, tile, roll, SliceMatrixOps, ImmutableNumericOps, MatrixLike, Broadcasted, LowPrioritySliceMatrix, String2File, argmax, MatrixSingularException, logdet, StorageVector, reshape, SliceVector, max, norm, LowPriorityCounter2, VectorBuilder, MatrixEmptyException, strictlyUpperTriangular, pinvLowPrio, argtopk, VectorConstructors, BroadcastedLike, clip, HashVector, qr, csvwrite, SparseVector, LowPriorityMatrix, det, Axis, all, DenseMatrix, rank, pinv, cholesky, QuasiTensor, isClose, Options, accumulate, softmax, CounterLike, min, scale, Counter2, Transpose, RangeToRangeExtender, TensorLike, CanPadLeft, ptp, padLeft, product, NotConvergedException, linspace, zipValues, upperTriangular, ZippedValues, Matrix, svd, dim, functions, flipud, diagLowPrio, hsplit, rot90, eig, argsort, mapValues, TransposeLowPrio, randomDouble, usingNatives, VectorOps, operators, PCA, sumLowPrio, Tensor, mapValuesLowPrio, BitVector, CSCMatrix, Broadcaster, randn, $times, mmwrite, lowerTriangular, ranks, axpy, trace, MatrixNotSquareException, convert, split, shuffle, LSMR, LapackException, InjectNumericOps, rand, normalize, vsplit, VectorLike, mpow, kron, NumericOps, strictlyLowerTriangular, logDiff, diff, squaredDistance, fliplr, cross, diffLowPrio, unique, cov, argmin, mapActiveValues, RandomGeneratorUFunc, randomInt, padRight, BroadcastedRows, SliceMatrix, support}
def accuracy(images: Tensor, labels: Tensor): Float = {
^
Tensor
is imported both by breeze and tensorflow
Tensor
Train accuracy = 0.4066
Test accuracy = 0.3805