Machine Learning in Elixir (Pragmatic Bookshelf)

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dmitrykleymenov
@seanmor5 For now avg_loss is counting like {loss, params} -> {batch_loss, new_params} = step(params, x, y) avg_loss = Nx.add(Nx....
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code-of-kai
@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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bosko
@seanmor5 Definition of batch function in the Data module line |> Stream.chunk_every(batch_size, :discard) should be |> Stream....
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ahamez
Hello @seanmor5 , When upgrading Axon to 0.7, evaluation fails with: ** (ArgumentError) argument at position 3 is not compatible with c...
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CoderDennis
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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daneroo
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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hugobarauna
@seanmor5 Instead of https://github.com/jonathanklosko/meow it’s https://github.com/jonatanklosko/meow
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shaolang
@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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zacksiri
@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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glappen
@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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PragmaticBookshelf
Leverage Elixir and the Nx ecosystem to build intelligent applications that solve real-world problems in computer vision, natural languag...
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SlowburnAZ
Getting an error when installing the dependencies at the start of this chapter: could not compile dependency :exla, "mix compile" failed...
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ahamez
Hello @seanmor5 , When upgrading Axon to 0.7, evaluation fails with: ** (ArgumentError) argument at position 3 is not compatible with c...
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pieteeken
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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glappen
@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
zacksiri
@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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jshprentz
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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code-of-kai
@seanmor5 Location: In Chapter 1, on page 14 Description: While attempting to cast the species column to a category in normalized_iris,...
New
daneroo
Machine Learning in Elixir: Code Repository Can we get a link to a GitHub repository with all erratas for the examples patched, Then we...
New
CoderDennis
When training the cnn_model, I get the following output: Epoch: 0, Batch: 150, accuracy: 0.4985513 loss: 7.6424022 Epoch: 1, Batch: 163,...
New
shaolang
@seanmor5 Test data should be scaled using the learned parameters from scaling train data. For example, if train data contains [1, 2, 3,...
New
hugobarauna
@seanmor5 Instead of https://github.com/jonathanklosko/meow it’s https://github.com/jonatanklosko/meow
New
bosko
@seanmor5 Definition of batch function in the Data module line |> Stream.chunk_every(batch_size, :discard) should be |> Stream....
New
dmitrykleymenov
@seanmor5 For now avg_loss is counting like {loss, params} -> {batch_loss, new_params} = step(params, x, y) avg_loss = Nx.add(Nx....
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PragmaticBookshelf
Author Spotlight: Sean Moriarity @seanmor5 Machine learning sounds both magical and difficult, but with the right tools and the right...
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martincabrera
@seanmor5 The mutate macro from the Explorer.DataFrame variable does not like variables: It works without the variable:
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bdarla
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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jakesgordon
@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...
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justincjohnson
@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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sdball
Title: Machine Learning in Elixir: Chapter 1 Example: Flower classification - final accuracy on the test data is inconsistent. When com...
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polmiro
@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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shawn_leong
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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haubie
@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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egutter
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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adamt
@seanmor5 Title: Machine Learning in Elixir (epub so pages different i think) From book: Current output: Diff: inputs: %{"ir...
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simple
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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sehHeiden
@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...
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egutter
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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Most Active Over Three Years Top

augusto1024
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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pieteeken
@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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pieteeken
@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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shawn_leong
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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eeide
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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Chris660
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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adamt
@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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shawn_leong
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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sabiwara
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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yannvery
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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egutter
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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shawn_leong
Hey @seanmor5, On page 109: model = Scholar.Clustering.KMeans.fit(train_inputs, num_clusters: 3) results in an UndefinedFunctionError....
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etnt
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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egutter
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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froucoux
“You will sometimes see surprising … due to precision issues.” Missing word, maybe “consequences” or “effects” ? Thanks for the great j...
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