Dear Community,
We are proud to announce the academia program for student : https://haibal.com/academia/
The HAIBAL project is structured in the same way as Keras.
The project consists of more than 3000 VIs including, all is coded in LabVIEW native:
- 16 activations (ELU, Exponential, GELU, HardSigmoid, LeakyReLU, Linear, PReLU, ReLU, SELU, Sigmoid, SoftMax, SoftPlus, SoftSign, Swish, TanH, ThresholdedReLU), nonlinear mathematical function generally placed after each layer having weights.
- 84 functional layers/layers (Dense, Conv, MaxPool, RNN, Dropout, etc…).
- 14 loss functions (BinaryCrossentropy, BinaryCrossentropyWithLogits, Crossentropy, CrossentropyWithLogits, Hinge, Huber, KLDivergence, LogCosH, MeanAbsoluteError, MeanAbsolutePercentage, MeanSquare, MeanSquareLog, Poisson, SquaredHinge), function evaluating the prediction in relation to the target.
- 15 initialization functions (Constant, GlorotNormal, GlorotUniform, HeNormal, HeUniform, Identity, LeCunNormal, LeCunUniform, Ones, Orthogonal, RandomNormal, Random,Uniform, TruncatedNormal, VarianceScaling, Zeros), function initializing the weights.
- 7 Optimizers (Adagrad, Adam, Inertia, Nadam, Nesterov, RMSProp, SGD), function to update the weights.
Get started full playlist available on our 𝐲𝐨𝐮𝐭𝐮𝐛𝐞 𝐜𝐡𝐚𝐧𝐧𝐞𝐥
https://lnkd.in/eCjWmQZA
Get started with HAIBAL deep learning toolkit (𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐢𝐨𝐧)
https://lnkd.in/e6cPn4Fq
#deeplearning #automation #LabVIEW #Graiphic #NI #NationalInstruments
