tensorflow :: ops :: TerapkanFtrl

#include <training_ops.h>

Perbarui '* var' sesuai dengan skema Ftrl-proksimal.

Ringkasan

akum_new = akum + grad * grad linier + = grad + (akum_new ^ (- lr_power) - acc ^ (- lr_power)) / lr * var kuadrat = 1.0 / (akum_ ^ (lr_power) * lr) + 2 * l2 var = (tanda (linier) * l1 - linier) / kuadrat jika | linier | > l1 lain 0,0 akum = akum_new

Argumen:

• scope: Objek Scope
• var: Harus dari Variabel ().
• akumulasi: Harus dari Variabel ().
• linear: Harus dari Variabel ().
• grad: Gradien.
• lr: Faktor penskalaan. Harus skalar.
• l1: regularisasi L1. Harus skalar.
• l2: regularisasi L2. Harus skalar.
• lr_power: Faktor penskalaan. Harus skalar.

Atribut opsional (lihat Attrs ):

• use_locking: Jika True , pembaruan tensor var dan akumulator akan dilindungi oleh kunci; jika tidak, perilakunya tidak ditentukan, tetapi mungkin menunjukkan lebih sedikit pertentangan.

Pengembalian:

• Output : Sama seperti "var".

Pembangun dan Penghancur
ApplyFtrl (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input linear, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input lr_power)
ApplyFtrl (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input linear, :: tensorflow::Input grad, :: tensorflow::Input lr, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input lr_power, const ApplyFtrl::Attrs & attrs)

Atribut publik
operation	Operation
out	:: tensorflow::Output

Fungsi publik
node () const	::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Fungsi statis publik
UseLocking (bool x)	Attrs

Structs
tensorflow :: ops :: ApplyFtrl :: Attrs	Penyetel atribut opsional untuk ApplyFtrl .

Atribut publik

operasi

Operation operation

di luar

::tensorflow::Output out

Fungsi publik

TerapkanFtrl

 ApplyFtrl(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input linear,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input lr_power
)

TerapkanFtrl

 ApplyFtrl(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input linear,
  ::tensorflow::Input grad,
  ::tensorflow::Input lr,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input lr_power,
  const ApplyFtrl::Attrs & attrs
)

simpul

::tensorflow::Node * node() const 

operator :: tensorflow :: Input

 operator::tensorflow::Input() const 

operator :: tensorflow :: Keluaran

 operator::tensorflow::Output() const 

Fungsi statis publik

UseLocking

Attrs UseLocking(
  bool x
)