About Tensorflow Fundamental_1

In this norebook, we’re going to cover some of the most fundamental concepts using Tensorflow.

More specifically, we’re going to cover:

• Introduction to tensors
• Getting information from tensors
• Manipulating tensors
• Tensors & Numpy
• Using @
• Using GPUs with TF

Import Tensorflow

import tensorflow as tf
print(tf.__version__)

Tensorflow 包含了一維，二維，三維，多維

scalaer
vector
matrix

## check the number of dimensions of a tensor (ndim stands for number of dimensions)

scalar.ndim

## Create a vector
vector = tf.constant([10, 10])
vector

## Create a matrix (has more than 1 dimension)
matrix = tf.constant([[10, 7], [7, 10]])
matrix

# Let's create a tensor
tensor = tf.constant([[[1, 2, 3],
                       [4, 5, 6]],
                       [[7, 8, 9],
                        [10, 11, 12]],
                       [[13, 14, 15],
                       [16, 17, 18]]])
tensor