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How a simple mix of object-oriented programming can sharpen your deep learning prototype

KDnuggets

By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.

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Fighting Overfitting in Deep Learning

KDnuggets

This post outlines an attack plan for fighting overfitting in neural networks.

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Deep Learning for NLP: Creating a Chatbot with Keras!

KDnuggets

Learn how to use Keras to build a Recurrent Neural Network and create a Chatbot! Who doesn’t like a friendly-robotic personal assistant?

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Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree

KDnuggets

This cheatsheet should be easier to digest than the official documentation and should be a transitional tool to get students and beginners to get started reading documentations soon.

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Top Stories, Sep 23-29: The Future of Analytics and Data Science; 5 Famous Deep Learning Courses/Schools of 2019

KDnuggets

Also: 12 Deep Learning Researchers and Leaders; Natural Language in Python using spaCy: An Introduction; A Single Function to Streamline Image Classification with Keras; Which Data Science Skills are core and which are hot/emerging ones?; 6 bits of advice for Data Scientists.

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Activation maps for deep learning models in a few lines of code

KDnuggets

We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.

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How to Become a Deep Learning Engineer in 2023?

ProjectPro

Deep learning was developed in the early 1940s to mimic the neural networks of the human brain. However, in the last few decades, deep learning has unleashed itself into the world. 85% of data science platform vendors have the first version of deep learning in products. What does a Deep Learning Engineer do?