Problem Solving with Arman (ML+Algo)
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"specs": {
"domain": ["ML", "Algorithms"],
"features": [
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"status": "daily_mind_training..."
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Сколько лучей вокруг солнца на флаге Казахстана?
Anonymous Quiz
3%
28
51%
32
38%
36
8%
40
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👀 Iris germanica - тот самый цветок из классического датасета для классификации на табличных данных.

Локация: ботанический сад в Алмате.
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Calculate Number of Parameters in Neural Network:

For ML engineers knowing the parameter count is vital because it determines a model's memory footprint and computational requirements, ensuring it can actually run on target hardware like GPUs or mobile devices.

Trainable parameters in a neural network are the internal variables (primarily weights and biases) that the model automatically adjusts during training to learn from data and improve its accuracy.

It serves as a direct measure of model capacity, helping engineers balance the complexity of the architecture to prevent overfitting while maintaining efficient training and inference speeds.

> Problem link (implement using numpy ~ recommended): https://www.deep-ml.com/problems/291

Dense layer:
trainable_params = input_size * out_size + out_size * int(use_bias)


CNN layer:
trainable_params = kernel_width * kernel_height * in_channels * out_channels + out_channels * int(use_bias)


Embedding layer:
trainable_params = num_embeddings * embedding_dim
def test():
try:
ans = "repeat" * 3.14
return ans
except:
return "exceptional"
finally:
return "finally over"

print(test())


#python_code_trivia
Forwarded from Young&&Yandex
🔘 Перерыв для тех, кто ботает

Долго сидишь в коде — делай пит-стоп. Предлагаем короткую разминку, можно выполнять упражнения прямо на стуле и не отходя от компа. Только осторожно 🦖

Скоро стартанём в настоящих Тренировках по алгоритмам 🔘 yandex.ru/yaintern/training
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Forwarded from Data Secrets
Вам доставка мемов из пузыря
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"Нас делает ценными не то, что мы знаем, а то как мы применяем свои знания."

#random_quotes
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Forwarded from Proggy-Buggy Contest (bot for editing and posting)
​​4 days left 👀
In just four days, hundreds of participants from different countries will start their 42-minute journey through the algorithmic galaxy 🚀
Some are already practicing.
Some are choosing their lucky towel.
Some have registered weeks ago.
If you're still thinking about it — now is the time.
🏆 Prizes
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Register now and see what you can do in 42 minutes:
👉 proggy-buggy.com/register
See you on June 6. And don't panic 😉