/books/machine-learning-in-elixir
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@seanmor5
Location: In Chapter 1, on page 14
Description: While attempting to cast the species column to a category in normalized_iris,...
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@seanmor5
Definition of batch function in the Data module line
|> Stream.chunk_every(batch_size, :discard)
should be
|> Stream....
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Hello @seanmor5 ,
When upgrading Axon to 0.7, evaluation fails with:
** (ArgumentError) argument at position 3 is not compatible with c...
New
When training the cnn_model, I get the following output:
Epoch: 0, Batch: 150, accuracy: 0.4985513 loss: 7.6424022
Epoch: 1, Batch: 163,...
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Machine Learning in Elixir: Code Repository
Can we get a link to a GitHub repository with all erratas for the examples patched,
Then we...
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@seanmor5
Instead of https://github.com/jonathanklosko/meow
it’s https://github.com/jonatanklosko/meow
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@seanmor5
Test data should be scaled using the learned parameters from scaling train data. For example, if train data contains [1, 2, 3,...
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@seanmor5
When I try the
Nx.Random.uniform_split(new_key, split: {}) function in page 130 I got an undefined function error
** (Undefin...
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@seanmor5
I am enjoying the book so far, but ran into an Elixir error on the last example in chapter 1:
In my last Livebook cell I have...
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The model training loop on page 273 should visualize the model output after each epoch. Instead, an argument error is reported after the ...
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Leverage Elixir and the Nx ecosystem to build intelligent applications that solve real-world problems in computer vision, natural languag...
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Getting an error when installing the dependencies at the start of this chapter:
could not compile dependency :exla, "mix compile&qu...
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Hello @seanmor5 ,
When upgrading Axon to 0.7, evaluation fails with:
** (ArgumentError) argument at position 3 is not compatible with c...
New
Page 226
Mix install uses older versins of exla, should 0.6 to work with cuda120
Page 230
targets pipeline in Data module misses |>...
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I’m going through the MLP Livebook for identifying cats and dogs, and after training the MLP model and testing it, I get an accuracy of 4...
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Hey @seanmor5 ,
Similar to the errata on deprecation on page 44, on page 128:
Nx.random_uniform({})
|> NeuralNetwork.predict(w1, b1,...
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Comments to Chapter 11 version B 3.0
@seanmor5
The dependencies from chapter 11 gave errors on 10 march 2024.
I followed the advices...
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Hello @seanmor5! Thanks a lot for the amazing book and new chapter :purple_heart:
I got a couple of errors when trying to run the exampl...
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I guess the second log should be : 1-y_pred
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The batch chunking in the CatsAndDogs module in Chapter 8 misses :discard
Should be in two places:
|> Stream.chunk_every(batch_size,...
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@seanmor5
{:scholar, “~> 0.1”} allows Scholar versions greater than 0.1 to be installed. This means that code on page 106 won’t run b...
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Hello @seanmor5 !
On page 180 the link to the onnx model is outdated : https://github.com/onnx/models/blob/main/vision/classification/mo...
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Not sure if I did something wrong but it seems like the code should instead be
Scholar.Metrics.Classification.accuracy(test_targets, tes...
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@seanmor5
I am enjoying the book so far, but ran into an Elixir error on the last example in chapter 1:
In my last Livebook cell I have...
New
Comments on Chapter 12, Version B 3.0
@seanmor5
All the Axon.Optimizers.adam(…) should be replaced by Polaris.Optimizers.adam( learning_...
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Author Spotlight: Sean Moriarity (@seanmor5)
Machine learning sounds both magical and difficult, but with the right tools and the rig...
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@seanmor5
The mutate macro from the Explorer.DataFrame variable does not like variables:
It works without the variable:
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Running the code snippet of Chapter 2 on page 44 of version B1.0, I get the following error:
Evaluation process terminated - an exceptio...
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@seanmor5
I don’t know if there’s much you can do about it, but the SSL certificate for the Wine dataset from archive.ics.uci.edu has an...
New
@seanmor5
In chapter 1, the accuracy of the model is 0.9666666. On my laptop I only get an accuracy of 0.5333333. Is that a problem? ...
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Hey @seanmor5,
I’m having great training accuracy but poor evaluation accuracy for the example in Chapter 1 when following the code in t...
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Title: Machine Learning in Elixir: Chapter 1
Example: Flower classification - final accuracy on the test data is inconsistent.
When com...
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@seanmor5
For Explorer.Query to access variables defined outside of the query ^ must be used.
Updated in the example below:
cols = ~w(...
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@seanmor5
the code provided I am running into an error when training the first model that uses transfer learning with ONNX model mobilen...
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Hi,
When running
tensor = Nx.random_uniform({1_000_000})
There’s a warning message warning: Nx.random_uniform/1 is deprecated. Use Nx....
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@seanmor5
Title: Machine Learning in Elixir (epub so pages different i think)
From book:
Current output:
Diff:
inputs: %{&qu...
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@seanmor5
In book:
Actual
Diff-ish
Polars[150 x 5]
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@seanmor5
I want to invert the cat image. Therefore I downloaded the file in the same folder as the livemd file for chapter 03 I created...
New
Version: B1.0
On page 104 the code:
Scholar.Metrics.confusion_matrix(test_targets, test_preds)
throws an error: required :num_classes ...
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@seanmor5
Title: Machine Learning in elixir: Some problems with chapter 7 in Version B2.0
On 3 january 2024 I downloaded the Cats & ...
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@seanmor5
Machine Learning in Elixir
Some remarks on chapter 8 version B2.0
seanmor5
page 177
It is already mentioned here:
:discar...
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Some minor nits in the beta version:
“but is often considered it’s own type of machine learning.” → should be “its”
“represents a d...
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This didn’t seem right to me:
For instance, you can squeeze the values of a feature between 0 and 1 by dividing every individual featur...
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@seanmor5
Per
“You can install Livebook locally, or run it in the cloud with Fly.”
Since we can run livebook on Huggingface (Liveboo...
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Hey @seanmor5,
The function given in the book
defn profits(trees) do
trees
|> Nx.pow(4)
|> Nx.negate()
|> Nx.add(Nx.mu...
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Version: B1.0
On page 100 (epub version) the code:
model = Scholar.Clustering.KMeans.fit(train_inputs, num_clusters: 3)
throws an er...
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Version: B1.0
On page 103 & 104 where the code example is:
Scholar.Linear.LogisticRegression.fit( train_inputs,
train_targets,
num_...
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Machine Learning in Elixir: Scholar.Clustering.KMeans.fit/2 is undefined (B1.0, Chapter 5, Page 109)
Hey @seanmor5,
On page 109:
model = Scholar.Clustering.KMeans.fit(train_inputs, num_clusters: 3)
results in an UndefinedFunctionError....
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Title: Machine Learning in Elixir: Learning to Learn with Nx and Axon (6)
“You will sometimes see surprising due to precision issues.”
...
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Version: B1.0
TL;DR: In page 98 should say two instead of three tensors:
Where it says
Next, you create three random normal tensors: ...
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“You will sometimes see surprising … due to precision issues.”
Missing word, maybe “consequences” or “effects” ?
Thanks for the great j...
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The calculation of average loss doesn’t seem right to me:
avg_loss = Nx.add(Nx.mean(batch_loss), loss) |> Nx.divide(j + 1)
I believe...
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Examples in GradFun module will show the following warning with Nx 0.5.3
warning: Nx.Defn.Kernel.inspect_expr/1 is deprecated. Use print...
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@seanmor5
In the example:
Nx.tensor(0.0000000000000000000000000000000000000000000001)
is said to be 1.0e-45 but it is actually 1.0e-46
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@seanmor5
Title: Manchine learning with elixir: description page 106
Scholar.Metrics.accuracy(test_targets, test_preds)
do not work, ...
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