Tensor | typeof Tensor | train/neural-net-tf.js:529 |
Parameter | any
| train/neural-net-tf.js:530 |
add | any
| train/neural-net-tf.js:531 |
neg | any
| train/neural-net-tf.js:532 |
mul | any
| train/neural-net-tf.js:533 |
div | any
| train/neural-net-tf.js:534 |
matmul | any
| train/neural-net-tf.js:535 |
exp | any
| train/neural-net-tf.js:536 |
log | any
| train/neural-net-tf.js:537 |
sqrt | any
| train/neural-net-tf.js:538 |
pow | any
| train/neural-net-tf.js:539 |
mean | any
| train/neural-net-tf.js:540 |
masked_fill | any
| train/neural-net-tf.js:541 |
variance | any
| train/neural-net-tf.js:542 |
at | any
| train/neural-net-tf.js:543 |
reshape | any
| train/neural-net-tf.js:544 |
_reshape | any
| train/neural-net-tf.js:545 |
transpose | any
| train/neural-net-tf.js:546 |
tensor | any
| train/neural-net-tf.js:547 |
randint | any
| train/neural-net-tf.js:548 |
randn | any
| train/neural-net-tf.js:549 |
rand | any
| train/neural-net-tf.js:550 |
tril | any
| train/neural-net-tf.js:551 |
ones | any
| train/neural-net-tf.js:552 |
zeros | any
| train/neural-net-tf.js:553 |
broadcast | any
| train/neural-net-tf.js:554 |
save | any
| train/neural-net-tf.js:555 |
load | any
| train/neural-net-tf.js:556 |
nn | any
| train/neural-net-tf.js:557 |
optim | any
| train/neural-net-tf.js:558 |
getShape() | (data: any, shape: any[]) => any[] | train/neural-net-tf.js:559 |