Yufeng, your job is really good in having these videos to teach ML for people. My only advice is to number the videos, so that people like us in Africa will find it easy to follow the videos to learn ML/AI
Hi Yufeng, great video. However, when I tried to code it by hand, or even use the notebook you supplied, I realised that my Tensorflow is version 1.1 instead of 1.3 that you have. And this is in January 2018. Secondly, for a novice, you left out the data files needed for this short exercise. Yes, I understand that this is supposed to be a quick (and dirty) intro. However, the data that I downloaded, has not been wrangled yet. As you use numeric targets, instead of the flower name, can you explain which flower you assigned the value 0, 1 and 2. Lastly, the code to to load the training data does not work, which I suspect has to do with the Iris data file I downloaded from the wiki website. The data preparation is important, and you have left out this stage and not let us know this part of the workflow. Nonetheless, I truly enjoy the series of videos you have created. Thank you.
Hello, I have watched your videos and I like it. I try the code in my computer but my TensorFlow version is 2.0 so there is no .contrib module anymore, do you know what module can I use in my TensorFlow?
It seems that the sessions run through a Estimator are not quite the same as a normal session? For example, `.eval.()` operation and the `tf.nn.sampled_softmax_loss` function do not work, when they do for a normal session. Would love to hear some details on this phenomenon.
Did he write in R or Python? Also is it possible to jump right into writing machine learning models without fully understanding the basics of Python?(if Python is your choice of language)
@@calvinbernard It is possible until some level however you better learn the basics if you like to write machine learning(you can check codeacademy or hackerrank)
As some of the functions have become deprecated, can you please update the code? Also, I couldn't find the documentation of tf.estimator.LinearClassifier. Can you please provide the link of the documentation?
Does base.load_csv_with_header takes target as the last column of the table in : base.load_csv_with_header(filename=IRIS_TRAINING, features_dtype=np.float32, target_dtype=np.int)
So basically we need to convert the Species column to integers? When watching this tutorial, somehow I feel like that the csv loading function will convert them into factors by default. If a conversion is required, why isn't the processed data provided for downloading? Thanks
Hi, thanks for the videos. I am new at AI and ML. I am trying to make practice with python 3 as possible as I can. This sample witch you show in the video give me an unexpected error. Where can I put the screan? I cant find an answer online.
Great video! Just one thing, Im using python 3.6 but when reaching the part of code "classifier = tf.estimator.LinearClassifier" it gives me this error "AttributeError: module 'tensorflow.python.estimator.estimator_lib' has no attribute 'LinearClassifier'"
I followed this example and it works great BUT... I wanted to predict some values, lets say: [6.4, 3.2, 4.5, 1.5] How can I do that? I tried several ways using classifier.predict() but always got errors. Do someone know how to code a "single" prediction? (please give a working example!)
Sorry, you did not understand my question. I train the whole dataset but I mean That I want to predict a NEW value (a "single prediction" over the trained model). By the way I already solved this!. Thank you for your answer.
******** from tensorflow.contrib.learn.python.learn.datasets import base # Data files IRIS_TRAINING = "iris_training.csv" IRIS_TEST = "iris_test.csv" ******** I thought above code would bring in the training and test data . I get this error NotFoundError: NewRandomAccessFile failed to Create/Open: iris_training.csv : The system cannot find the file specified. ; No such file or directory looks like a great class, but cannot follow on my Jupyter notebook.
for thos interested in grabbing the actual csv files he's referencing in this video they are at the following url: - download.tensorflow.org/data/iris_training.csv - download.tensorflow.org/data/iris_test.csv Thank you Google for this insightful ML tf video.
I enrolled into EITC AI certification, I have been trying to run this example for two days and... I received a nice welcome to tensorflow. This is full of deprecated code, and replacing it is a PITA. The documentation is a mess, this example is lost in history and it's time for an update... that will also be temporary anyway . What a crappy way to mantain a codebase, and making examples on a tutorial video based in a temporary-meant-to-be-removed "contrib" namespace is very nerdy and amateurish to say the least.
Just go to the section "Recent updates list" of the Textual didactic materials. There you can find explanations on how to install the software needed, and the updated Python code for the Iris example. Since it's been updated on 30th October 2023, it works correctly with TensorFlow 2.x
I'm looking forward to the video that shows the classifiers working in real time e.g. I upload an image and the classifier immediately tells me hot dog | not hot dog.
Nothing understood. I thought this series would be useful but.... not able to understand what you are doing. where's the code to copy and how to download data. Actually are we supposed to do the same thing you did in the video or just watch it
I am not sure if I should say I understood. I appreciate your efforts, sadly for a new bee , it could be a hard time understanding what you just taught. You might want to split up the topic into multiple videos and explain elaborately. Nevertheless, your efforts are appreciated.
The code is in the description, github is not ideal for downloading a single jupyter notebook. You can download it from the link, they give: nbviewer.jupyter.org/gist/yufengg/a6dff912ab48f7a273f5704ad9ab1311
I converted data, now the csv looks like 6.7,3.3,5.7,2.5,0 6.7,3,5.2,2.3,1 6.3,2.5,5,1.9,2 ... training_set = base.load_csv_with_header(filename=IRIS_TRAINING, features_dtype=np.float32, target_dtype=np.int) ValueError: invalid literal for int() with base 10: 'Sepallength' any tip?
I am eager to learn ML and UI desinging.. I am in progress of creating my own Web app that helps in education. I am a beginner to ML suggest some books, vidoe link, tutors . to make me better.
this video was created with tensorflow V 1.3.0, todays version is 2.9.1. contrib is removed. please consider updating the video.
Yufeng, your job is really good in having these videos to teach ML for people. My only advice is to number the videos, so that people like us in Africa will find it easy to follow the videos to learn ML/AI
Hi Yufeng, great video. However, when I tried to code it by hand, or even use the notebook you supplied, I realised that my Tensorflow is version 1.1 instead of 1.3 that you have. And this is in January 2018.
Secondly, for a novice, you left out the data files needed for this short exercise. Yes, I understand that this is supposed to be a quick (and dirty) intro. However, the data that I downloaded, has not been wrangled yet. As you use numeric targets, instead of the flower name, can you explain which flower you assigned the value 0, 1 and 2.
Lastly, the code to to load the training data does not work, which I suspect has to do with the Iris data file I downloaded from the wiki website.
The data preparation is important, and you have left out this stage and not let us know this part of the workflow.
Nonetheless, I truly enjoy the series of videos you have created.
Thank you.
We did the same example in Multivariate Analysis. Really concise and simple to follow video. But how would we do it using images?
Hello, I have watched your videos and I like it. I try the code in my computer but my TensorFlow version is 2.0 so there is no .contrib module anymore, do you know what module can I use in my TensorFlow?
Hello
I really appreciate your job :)
I wish if you use little examples for each step and be little slower please.
jup that was hard to follow if you're new to this
Excellent. Brief. Clear. Thoughtfully highlighted and focused presentation. Mr. Guo easily understood.
This is quite a nice intro to ML. I like the idea.
Whats the best way to start to get familiar with what is explained in the video? Thanks!
very nice video
greate to learn machine learning in simple way
Awesome Playlist!
Wondeful. Looking forward to using Tensor flow soon.
It seems that the sessions run through a Estimator are not quite the same as a normal session? For example, `.eval.()` operation and the `tf.nn.sampled_softmax_loss` function do not work, when they do for a normal session. Would love to hear some details on this phenomenon.
what programming language will we use to write that code
Python
I strongly advise you to install Anaconda yo will be able to install jupyter notebook, numpy and pandas in one step
jonathan perez good tip
Did he write in R or Python? Also is it possible to jump right into writing machine learning models without fully understanding the basics of Python?(if Python is your choice of language)
@@calvinbernard It is possible until some level however you better learn the basics if you like to write machine learning(you can check codeacademy or hackerrank)
As some of the functions have become deprecated, can you please update the code?
Also, I couldn't find the documentation of tf.estimator.LinearClassifier. Can you please provide the link of the documentation?
He wears a ring
The deprecated functions to working with CSV can be replaced following the answer here stackoverflow.com/a/52662295/7515530;
Does base.load_csv_with_header takes target as the last column of the table in :
base.load_csv_with_header(filename=IRIS_TRAINING,
features_dtype=np.float32,
target_dtype=np.int)
Very good job !!! Its first time that understand the ML Please go on
How do you create a prediction based on this model ?
I cannot grasp the term classifier. Can you elaborate on this term please? Thank you!
So basically we need to convert the Species column to integers? When watching this tutorial, somehow I feel like that the csv loading function will convert them into factors by default. If a conversion is required, why isn't the processed data provided for downloading? Thanks
Where to download the CSVs? Can anybody tell me how to do that?
google the data files... you can find them at github and other places.
download.tensorflow.org/data/iris_training.csv, download.tensorflow.org/data/iris_test.csv
Is it important to know Tensor Flow and Python Pytorch? Which is more popular and being used by companies in the work force ? Thanks
Great but could your help me what information i have to study to deeper understand it all?
Awesome series!!! Thanks a lot.
nice series.. looking forward to watch the new video 👍🏻
Great job,man!
Hi, thanks for the videos. I am new at AI and ML. I am trying to make practice with python 3 as possible as I can. This sample witch you show in the video give me an unexpected error. Where can I put the screan? I cant find an answer online.
It'd be easier to help if you would specify the error, sir.
How do you predict, given a single feature (e.g. [6.4, 3.2, 4.5, 1.5]) using classifier.predict()?
Very nice intro to ML
Why do not work with the cost function in this example?
it would be great if you could explain all lines of code @gcp
Finally... The place to learn ML :)
where can I get complete course of ML for free?
Is there any demo with javascript?
Great video! Just one thing, Im using python 3.6 but when reaching the part of code "classifier = tf.estimator.LinearClassifier" it gives me this error "AttributeError: module 'tensorflow.python.estimator.estimator_lib' has no attribute 'LinearClassifier'"
Where I can study very well
Is this still up-to-date?
I followed this example and it works great BUT...
I wanted to predict some values, lets say: [6.4, 3.2, 4.5, 1.5]
How can I do that? I tried several ways using classifier.predict() but always got errors.
Do someone know how to code a "single" prediction? (please give a working example!)
Sorry, you did not understand my question. I train the whole dataset but I mean That I want to predict a NEW value (a "single prediction" over the trained model). By the way I already solved this!. Thank you for your answer.
@nachobagnato , I have the same issue. Could you please tell me how did you manage to solve this problem?
how did you do it?
template = ('
Prediction is "{}" ({:.1f}%), expected "{}"')
for pred_dict, expec in zip(predictions, expected):
class_id = pred_dict['class_ids'][0]
probability = pred_dict['probabilities'][class_id]
print(template.format(iris_data.SPECIES[class_id],
100 * probability, expec))
expected = ['Setosa', 'Versicolor', 'Virginica']
predict_x = {
'SepalLength': [5.1, 5.9, 6.9],
'SepalWidth': [3.3, 3.0, 3.1],
'PetalLength': [1.7, 4.2, 5.4],
'PetalWidth': [0.5, 1.5, 2.1],
}
predictions = classifier.predict(
input_fn=lambda:iris_data.eval_input_fn(predict_x,
batch_size=args.batch_size))
********
from tensorflow.contrib.learn.python.learn.datasets import base
# Data files
IRIS_TRAINING = "iris_training.csv"
IRIS_TEST = "iris_test.csv"
********
I thought above code would bring in the training and test data .
I get this error
NotFoundError: NewRandomAccessFile failed to Create/Open: iris_training.csv : The system cannot find the file specified.
; No such file or directory
looks like a great class, but cannot follow on my Jupyter notebook.
yeah they got rid of that module
for thos interested in grabbing the actual csv files he's referencing in this video they are at the following url:
- download.tensorflow.org/data/iris_training.csv
- download.tensorflow.org/data/iris_test.csv
Thank you Google for this insightful ML tf video.
In addition to knowing AI programming and Python what other languages should we have know for obtaining a job. As a beginner
Python is probably enough for many jobs. It is one of the world's most popular languages for machine learning and many other things.
Does this example work with Python3?
Yes
Thanks very much for the explanation boy!
are we being racist now ? unprovoked even ?
Lechiffresix six no.... why?
Heres the datasets :)
download.tensorflow.org/data/iris_test.csv
download.tensorflow.org/data/iris_training.csv
Went to the jupyter notebook and typed what he typed and it didn't work.
which version of python do you have
do we need python 3 for this?
great video.
That code is very difficult to understand....If you can explain the code,it would help
Fantastic!
Ugh. The tensorflow.contrib module is redundant now. Sad times
Hi can you show a video in detail about this program as I am new in python
Python and Jupyter are very powerful... get your Jupyter instance running first... then Python will be much more interesting IMHO.
1. Please show how to predict exported model on PC. 2. Please show how to predict model on PC without exporting.
I enrolled into EITC AI certification, I have been trying to run this example for two days and... I received a nice welcome to tensorflow. This is full of deprecated code, and replacing it is a PITA. The documentation is a mess, this example is lost in history and it's time for an update... that will also be temporary anyway . What a crappy way to mantain a codebase, and making examples on a tutorial video based in a temporary-meant-to-be-removed "contrib" namespace is very nerdy and amateurish to say the least.
Just go to the section "Recent updates list" of the Textual didactic materials. There you can find explanations on how to install the software needed, and the updated Python code for the Iris example. Since it's been updated on 30th October 2023, it works correctly with TensorFlow 2.x
Wow... superb
I'm looking forward to the video that shows the classifiers working in real time e.g. I upload an image and the classifier immediately tells me hot dog | not hot dog.
Can you tell me what language is he using...is it python?
Nothing understood. I thought this series would be useful but.... not able to understand what you are doing. where's the code to copy and how to download data.
Actually are we supposed to do the same thing you did in the video or just watch it
I am not sure if I should say I understood. I appreciate your efforts, sadly for a new bee , it could be a hard time understanding what you just taught. You might want to split up the topic into multiple videos and explain elaborately. Nevertheless, your efforts are appreciated.
this material is outdated!!!
amazing
can you give me iris_traing csv file and also test file
Sir, can u share Ur codes in github. please provide a Github link.
The code is in the description, github is not ideal for downloading a single jupyter notebook. You can download it from the link, they give: nbviewer.jupyter.org/gist/yufengg/a6dff912ab48f7a273f5704ad9ab1311
Sir, i want to learning very basic level machine learning and AI.
I converted data, now the csv looks like
6.7,3.3,5.7,2.5,0
6.7,3,5.2,2.3,1
6.3,2.5,5,1.9,2
...
training_set = base.load_csv_with_header(filename=IRIS_TRAINING, features_dtype=np.float32, target_dtype=np.int)
ValueError: invalid literal for int() with base 10: 'Sepallength'
any tip?
I am eager to learn ML and UI desinging.. I am in progress of creating my own Web app that helps in education. I am a beginner to ML suggest some books, vidoe link, tutors . to make me better.
smart guy
Cool grea
Neat
I guess this is definitely not for the beginners who is absolute beginner.
estimator is a terriable design
No hate but you know what they say, the lower the V the smaller the D. HAHA cheers, great video
牛逼啊！各方面都牛逼！