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1. Stanford CS234: Reinforcement Learning | Winter 2019

2. Linux Desktop Setup:linux桌面设置和软件选择

3. 1997 WWDC Fireside Chat with Steve Jobs: 乔布斯在1997年的WWDC上的演讲

4. China’s Ambitious Plan to Build the World’s Biggest Supergrid(中国要建世界最大的超高压电网 …

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1. Convolutional Neural Networks (Course 4 of the Deep Learning Specialization)

2. Resnets

3. ubuntu screenshots and screencasts

   Prt Scrn to take a screenshot of the desktop. Alt+Prt Scrn to take a screenshot of a window. Shift+Prt Scrn to take a screenshot of an area you select.

4. 常 …

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1. Experienced programmers, how do you learn new language?
2. Learning multiple languages vs. mastering one
   • Python - You can do almost everything well in Python. Make lots of stuff
   • Command Line & Bash - How systems are glued together. Deploy the stuff you make.
   • GNU Regex & awk - How to find things …

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1. Why do we need to set the gradients manually to zero in pytorch?
2. pytorch loss.backward() calculates the gradient and cumsum it
3. How to learn best practices when you have no one to teach you?

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1. How to Develop a Word Embedding Model for Predicting Movie Review Sentiment: introduce how to do word embedding in keras and gensim and compare their performance on the movie review data.
2. Ludwig: a toolbox from uber that allows you to train and test deep learning models without …

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1. Visualizing gradient descent in action An ineresting project to show how learning rate will affect the converge. If LR is too small, it will converge very slowly. If LR is too big(like 1.01), it will diverge.
2. How to add new embeddings for unknown words in …

1. On AWS to connect with ServerAliveInterval=100

ssh -i ~/.ssh/xxxx.pem ubuntu@hithere.amazonaws.com -o ServerAliveInterval=100

2. General Setup

Many NAT firewalls time out idle sessions after a certain period of time to keep their trunks clean. Sometimes the interval between session drops is 24 hours …

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1. Handling Categorical Data in Python
   • Categorical features may have a very large number of levels, known as high cardinality, (for example, cities or URLs), where most of the levels appear in a relatively small number of instances.
   • Many machine learning models, such as regression or SVM or …

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1. What Kagglers are using for Text Classification
2. What Kagglers Are Using for Text Classification | Hacker News
3. 字词的向量表示法 | TensorFlow
4. Sutton & Barto Book: Reinforcement Learning: An Introduction
5. GitHub - sdmg15/Best-websites-a-programmer-should-visit: Some useful websites for programmers.
6. memory ram usage in linux bash echo …

summary of how to install nvidia drivers on ubuntu for deep learning.