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Mandar Chandorkar
@mandar2812
import $file.scripts.mnist
this trains a tensorflow backed neural net on mnist
and try import $file.scripts.kernelModels
Israel Herraiz
@iht
ok, i am doing sbt stage
working :D
Mandar Chandorkar
@mandar2812
so you can see the DynaML shell?
Israel Herraiz
@iht
yes
Mandar Chandorkar
@mandar2812
also the two examples are working?
Israel Herraiz
@iht
yes
Mandar Chandorkar
@mandar2812
:+1:
Israel Herraiz
@iht
thanks again!
Mandar Chandorkar
@mandar2812
I hope you have fun messing around with DynaML!
if you ever feel like contributing code or improvements, you are always welcome
:)
Israel Herraiz
@iht
thank you
i will try
but the project is huuuuuuge!
i will have to study a lot :D
Mandar Chandorkar
@mandar2812
Yes its been in the works for more than 2 years
this is a good place to start
the github wiki is really not up to date
but the link is more or less
Israel Herraiz
@iht
ok
Mandar Chandorkar
@mandar2812
Hey @/all i added a script scripts/cifar.sc in the latest commit you can run it by import $file.scripts.cifar
it tests a convolutional NN architecture on the CIFAR-10 data set
Israel Herraiz
@iht
it does not compile for me
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 = {
                       ^
it looks like Tensor is imported both by breeze and tensorflow
Mandar Chandorkar
@mandar2812
yes
i updated the default imports in the shell
transcendent-ai-labs/DynaML@8926071
breeze also has a Tensor
going ahead, since the packages which are included with DynaML are huge, it might be wise to have a small set of default imports and leave the rest to some presets which the user can load with simple commands
Israel Herraiz
@iht
it now compiles with the latest commits
I get these values:
Train accuracy = 0.4066 Test accuracy = 0.3805
Mandar Chandorkar
@mandar2812
good, so its working
Mandar Chandorkar
@mandar2812
Hi @/all just wanted to shine a light on the new user guide additions
This section outlines all the new additions in Tensorflow integration.
Israel Herraiz
@iht
Great, thanks for the update! Time to play with TF and DynaML :D
Mandar Chandorkar
@mandar2812
Hi @/all, check out the new release v1.5.3!
We have a new Data Set API
and the Inception v2 cell is available as a computational layer
Michel Lemay
@michellemay
Hi there, I just stumbled upon your nice library. Nice work!
I'm currently looking to implement BayesOptimization for hyper parameters using GPRegression and Expected Improvement acquisition function.
So, I'm seeking some guidance in order to make the most of DynaML. There is a lot of useful stuff in there and I don't want to waste time re-implementing routines that are already there.
Mandar Chandorkar
@mandar2812
Hi @michellemay glad you liked DynaML! Yes you are very welcome to implement BayesOptimization in DynaML, pul requests and contributions are very welcome!
So Bayes Opt is not implemented anywhere in DynaML
there is a global optimization API