TensorFlow Python reference documentation

Building Graphs:
Constants, Sequences, and Random Values:
Variables:
Tensor Transformations:
- cast
- concat
- dynamic_partition
- dynamic_stitch
- expand_dims
- gather
- pack
- pad
- rank
- reshape
- reverse
- reverse_sequence
- shape
- size
- slice
- split
- squeeze
- string_to_number
- tile
- to_bfloat16
- to_double
- to_float
- to_int32
- to_int64
- transpose
- unpack
Math:
- abs
- accumulate_n
- add
- add_n
- argmax
- argmin
- batch_cholesky
- batch_matmul
- batch_matrix_determinant
- batch_matrix_inverse
- ceil
- cholesky
- complex
- complex_abs
- conj
- cos
- diag
- div
- edit_distance
- exp
- floor
- imag
- inv
- invert_permutation
- listdiff
- log
- matmul
- matrix_determinant
- matrix_inverse
- maximum
- minimum
- mod
- mul
- neg
- pow
- real
- reduce_all
- reduce_any
- reduce_max
- reduce_mean
- reduce_min
- reduce_prod
- reduce_sum
- round
- rsqrt
- segment_max
- segment_mean
- segment_min
- segment_prod
- segment_sum
- sign
- sin
- sparse_segment_mean
- sparse_segment_sum
- sqrt
- square
- sub
- transpose
- unique
- unsorted_segment_sum
- where
Control Flow:
Images:
Sparse Tensors:
Inputs and Readers:
Data IO (Python functions):
- tf_record_iterator
- TFRecordWriter
Neural Network:
Running Graphs:
Training: