# Topic: Deep Learning

This page features most recent and most popular posts on Deep Learning.

### Latest posts on Deep Learning

- KDnuggets™ News 20:n36, Sep 23: New Poll: What Python IDE / Editor you used the most in 2020?; Automating Every Aspect of Your Python Project - Sep 23, 2020New Poll: What Python IDE / Editor you used the most in 2020?; Automating Every Aspect of Your Python Project; Autograd: The Best Machine Learning Library You're Not Using?; Implementing a Deep Learning Library from Scratch in Python; Online Certificates/Courses in AI, Data Science, Machine Learning; Can Neural Networks Show Imagination?
- MathWorks Deep learning workflow: tips, tricks, and often forgotten steps - Sep 22, 2020Getting started in deep learning – and adopting an organized, sustainable, and reproducible workflow – can be challenging. This blog post will share some tips and tricks to help you develop a systematic, effective, attainable, and scalable deep learning workflow as you experiment with different deep learning models, datasets, and applications.
- The Insiders’ Guide to Generative and Discriminative Machine Learning Models - Sep 18, 2020In this article, we will look at the difference between generative and discriminative models, how they contrast, and one another.
- Implementing a Deep Learning Library from Scratch in Python - Sep 17, 2020A beginner’s guide to understanding the fundamental building blocks of deep learning platforms.
- Autograd: The Best Machine Learning Library You’re Not Using? - Sep 16, 2020If there is a Python library that is emblematic of the simplicity, flexibility, and utility of differentiable programming it has to be Autograd.

### Most popular (badge-winning) recent posts on Deep Learning

- Autograd: The Best Machine Learning Library You’re Not Using?
**[Silver Blog]**If there is a Python library that is emblematic of the simplicity, flexibility, and utility of differentiable programming it has to be Autograd. - Deep Learning’s Most Important Ideas
**[Gold Blog]**In the field of deep learning, there continues to be a deluge of research and new papers published daily. Many well-adopted ideas that have stood the test of time provide the foundation for much of this new work. To better understand modern deep learning, these techniques cover the basic necessary knowledge, especially as a starting point if you are new to the field. - Must-read NLP and Deep Learning articles for Data Scientists
**[Gold Blog]**NLP and deep learning continue to advance, nearly on a daily basis. Check out these recent must-read guides, feature articles, and other resources to keep you on top of the latest advancements and ahead of the curve. - I have a joke about …
**[Silver Blog]**I have a machine learning joke, but it is not performing as well on a new audience. We bring you a selection of the nerdy self-referential computer jokes that were popular on the web recently. - Free MIT Courses on Calculus: The Key to Understanding Deep Learning
**[Gold Blog]**Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT. - Getting Started with TensorFlow 2
**[Gold Blog]**Learn about the latest version of TensorFlow with this hands-on walk-through of implementing a classification problem with deep learning, how to plot it, and how to improve its results. - Learning by Forgetting: Deep Neural Networks and the Jennifer Aniston Neuron
**[Gold Blog]**DeepMind’s research shows how to understand the role of individual neurons in a neural network. - The Most Important Fundamentals of PyTorch you Should Know
**[Silver Blog]**PyTorch is a constantly developing deep learning framework with many exciting additions and features. We review its basic elements and show an example of building a simple Deep Neural Network (DNN) step-by-step. - A Complete guide to Google Colab for Deep Learning
**[Gold Blog]**Google Colab is a widely popular cloud service for machine learning that features free access to GPU and TPU computing. Follow this detailed guide to help you get up and running fast to develop your next deep learning algorithms with Colab. - Deep Learning for Detecting Pneumonia from X-ray Images
**[Silver Blog]**This article covers an end to end pipeline for pneumonia detection from X-ray images. - Deep Learning for Coders with fastai and PyTorch: The Free eBook
**[Gold Blog]**If you are interested in a top-down, example-driven book on deep learning, check out the draft of the upcoming Deep Learning for Coders with fastai & PyTorch from fast.ai team. - The Best NLP with Deep Learning Course is Free
**[Platinum Blog]**Stanford's Natural Language Processing with Deep Learning is one of the most respected courses on the topic that you will find anywhere, and the course materials are freely available online. - Deep Learning: The Free eBook
**[Gold Blog]**"Deep Learning" is the quintessential book for understanding deep learning theory, and you can still read it freely online. - How Deep Learning is Accelerating Drug Discovery in Pharmaceuticals
**[Gold Blog]**The goal of this essay is to discuss meaningful machine learning progress in the real-world application of drug discovery. There’s even a solid chance of the deep learning approach to drug discovery changing lives for the better doing meaningful good in the world. - The Data Science Puzzle — 2020 Edition
**[Silver Blog]**The data science puzzle is once again re-examined through the relationship between several key concepts of the landscape, incorporating updates and observations since last time. Check out the results here. - Top 5 must-have Data Science skills for 2020
**[Gold Blog]**The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market. - AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020
**[Gold Blog]**As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions. - 10 Free Top Notch Machine Learning Courses
**[Gold Blog]**Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills. - Open Source Projects by Google, Uber and Facebook for Data Science and AI
**[Gold Blog]**Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public. - Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch
**[Silver Blog]**The new release of PyTorch includes some impressive open source projects for deep learning researchers and developers. - Activation maps for deep learning models in a few lines of code
**[Silver Blog]**We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.