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This article will explain in detail how to use tensorflow to achieve a helloworld program, the content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

The following describes how to use tensorflow to implement a helloworld program and introduces common concepts.

Xiao Cheng first gives the code of helloworld, then introduces the concept, as well as the execution of the code.

(1) helloworld code

To write a helloworld using tensorflow, you can write:

Import tensorflow as tf

Hello = tf.constant ("hello world")

With tf.Session () as sess:

Print (sess.run (hello))

The use of tensorflow is "tortuous", such as the need to create a Session to run. Readers can only understand and adapt to this kind of rules of use.

The above is the simple code for hellowrold, which is simple, but it also involves some important concepts.

(2) important concepts (a) tensor

Tensor can be translated as a tensor.

In tensorflow's code, there are tensors everywhere.

A tensor can be understood as an array of any dimension.

A zero-dimensional array is a constant (scalar). For example, hello in the above code is a zero-dimensional tensor, that is, a constant.

An one-dimensional array is a vector.

A two-dimensional array is a matrix.

Constants and variables are tensors.

(B) instructions

Instructions are used to manipulate (create, destroy, etc.) tensors.

The code in tensorflow is basically the use of instructions. For example, tf.constant () in the above code is an instruction.

(C) figure

The graph, which is the data flow diagram, is also the translation of flow.

Tensorflow programs must have one or more diagrams, and use default diagrams if they are not specified.

The graph organizes the tensor with the instruction.

The graph consists of nodes and edges, instructions are nodes and tensors are edges.

Instruction (node) operation tensor (side), tensor is the input of subsequent instructions.

The tensorflow program, which does a lot of work, builds the diagram and then runs it with session.

(d) conversation

After building the diagram, you need to run it with a session.

Tf.Session () gets the session.

(3) the use of concepts.

To write a tensorflow program is to use the important concepts described above.

Basically, writing a tensorflow program is about doing two things.

The first is the construction diagram, that is, to build the node (instruction) and the edge (tensor).

The second is the running diagram, that is, using session to evaluate the elements in the diagram.

(4) execute tensorflow program

Finally, after you write the program in tensorflow, you execute it.

This Xiaocheng has been introduced before, readers can follow the "Guangzhou Xiaocheng" Wechat official account and check the relevant articles.

Since the tensorflow program is a python program, just follow the python program to execute it.

For example, for the above helloworld program, Xiao Cheng executes it on the local terminal, which looks like this:

The execution of tensorflow on the local terminal is in advance, and the environment needs to be prepared, which has been described in detail before.

If there is no local terminal environment, is it impossible to implement it? Not really, because readers can use other people's environment to execute.

For example, google provides an environment for executing tensorflow programs, and readers only need to write code on the browser to submit for execution. The address of this page is:

Https://colab.research.google.com/notebooks/mlcc/hello_world.ipynb?hl=zh-cn#scrollTo=Bl1nAshab6m5

Execute the helloworld program on the browser and you can see the output like this:

On how to use tensorflow to achieve a helloworld program to share here, I hope the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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