Python's Theano Learning:

Source: Internet
Author: User
Tags theano

(1) Theano main support symbol matrix expression

(2) Theano and NumPy have broadcasting:numpy in the dynamic, and Theano need to know before this is which dimension needs to be broadcast. Given the following table for different types of data, the base types are scalar, vector, row, col, Matrix, Tensor3, Tensor4, and then the 8, 16, 32, 64 bits corresponding to the shaping int are B, W, I, l The float type corresponds to 32, 64 bits is F, the D;complex type corresponds to 64, 128 bits are C, Z.

Constructor Dtype Ndim Shape broadcastable
Bscalar int8 0 () ()
Bvector int8 1 (?,) (False,)
Brow int8 2 (1,?) (True, False)
Bcol int8 2 (?, 1) (False, True)
Bmatrix int8 2 (?,?) (False, False)
Btensor3 int8 3 (?,?,?) (False, False, false)
Btensor4 int8 4 (?,?,?,?) (False, False, false, false)
Wscalar Int16 0 () ()
Wvector Int16 1 (?,) (False,)
Wrow Int16 2 (1,?) (True, False)
Wcol Int16 2 (?, 1) (False, True)
Wmatrix Int16 2 (?,?) (False, False)
Wtensor3 Int16 3 (?,?,?) (False, False, false)
Wtensor4 Int16 4 (?,?,?,?) (False, False, false, false)
Iscalar Int32 0 () ()
Ivector Int32 1 (?,) (False,)
IRow Int32 2 (1,?) (True, False)
Icol Int32 2 (?, 1) (False, True)
Imatrix Int32 2 (?,?) (False, False)
Itensor3 Int32 3 (?,?,?) (False, False, false)
Itensor4 Int32 4 (?,?,?,?) (False, False, false, false)
Lscalar Int64 0 () ()
Lvector Int64 1 (?,) (False,)
Lrow Int64 2 (1,?) (True, False)
LCol Int64 2 (?, 1) (False, True)
Lmatrix Int64 2 (?,?) (False, False)
Ltensor3 Int64 3 (?,?,?) (False, False, false)
Ltensor4 Int64 4 (?,?,?,?) (False, False, false, false)
Dscalar Float64 0 () ()
Dvector Float64 1 (?,) (False,)
Drow Float64 2 (1,?) (True, False)
Dcol Float64 2 (?, 1) (False, True)
Dmatrix Float64 2 (?,?) (False, False)
Dtensor3 Float64 3 (?,?,?) (False, False, false)
Dtensor4 Float64 4 (?,?,?,?) (False, False, false, false)
Fscalar Float32 0 () ()
Fvector Float32 1 (?,) (False,)
Frow Float32 2 (1,?) (True, False)
Fcol Float32 2 (?, 1) (False, True)
Fmatrix Float32 2 (?,?) (False, False)
Ftensor3 Float32 3 (?,?,?) (False, False, false)
Ftensor4 Float32 4 (?,?,?,?) (False, False, false, false)
Cscalar Complex64 0 () ()
Cvector Complex64 1 (?,) (False,)
Crow Complex64 2 (1,?) (True, False)
Ccol Complex64 2 (?, 1) (False, True)
Cmatrix Complex64 2 (?,?) (False, False)
Ctensor3 Complex64 3 (?,?,?) (False, False, false)
Ctensor4 Complex64 4 (?,?,?,?) (False, False, false, false)
Zscalar complex128 0 () ()
Zvector complex128 1 (?,) (False,)
Zrow complex128 2 (1,?) (True, False)
Zcol complex128 2 (?, 1) (False, True)
Zmatrix complex128 2 (?,?) (False, False)
Ztensor3 complex128 3 (?,?,?) (False, False, false)
Ztensor4 complex128 4 (?,?,?,?) (False, False, false, false)

Python's Theano Learning:

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