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Towards Data Science
Your home for data science. A Medium publication sharing concepts, ideas and codes.
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Deep Learning
Lucas de Lima Nogueira
in
Towards Data Science
May 14
Recreating PyTorch from Scratch (with GPU Support and Automatic Differentiation)
Build your own deep…
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221
2 responses
Jonte Dancker
in
Towards Data Science
May 11
N-BEATS — The First Interpretable Deep Learning Model That Worked for Time Series Forecasting
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453
3 responses
Shreya Rao
in
Towards Data Science
May 10
Deep Learning Illustrated, Part 3: Convolutional Neural Networks
An illustrated and intuitive guide…
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392
4 responses
Chayma Zatout
in
Towards Data Science
May 9
A Beginner-Friendly Introduction to LLMs
A first step to Large Language Models
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240
3 responses
Egor Howell
in
Towards Data Science
May 8
Recurrent Neural Networks: An Introduction to Sequence Modelling
What are recurrent neural networks…
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197
1 response
Cristian Leo
in
Towards Data Science
May 7
The Math Behind Batch Normalization
Explore Batch Normalization, a cornerstone of neural networks…
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368
1 response
Hesam Sheikh
in
Towards Data Science
May 7
Understanding Kolmogorov–Arnold Networks (KAN)
Why KANs are a potential alternative to MPLs and the…
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435
2 responses
Ankur Manikandan
in
Towards Data Science
May 6
How does temperature impact next token prediction in LLMs?
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135
1 response
Thao Vu
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Towards Data Science
May 5
Transformers: From NLP to Computer Vision
How Transformer architecture has been adapted to computer…
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298
1 response
Amy Ma
in
Towards Data Science
May 3
Courage to Learn ML: Tackling Vanishing and Exploding Gradients (Part 2)
A Comprehensive Survey on…
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251
1 response