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@ottokart
ottokart / nn.py
Last active August 27, 2021 05:52
3-layer neural network example with dropout in 2nd layer
# Tiny example of 3-layer nerual network with dropout in 2nd hidden layer
# Output layer is linear with L2 cost (regression model)
# Hidden layer activation is tanh
import numpy as np
n_epochs = 100
n_samples = 100
n_in = 10
n_hidden = 5
@joepie91
joepie91 / vpn.md
Last active September 12, 2024 14:30
Don't use VPN services.

Don't use VPN services.

No, seriously, don't. You're probably reading this because you've asked what VPN service to use, and this is the answer.

Note: The content in this post does not apply to using VPN for their intended purpose; that is, as a virtual private (internal) network. It only applies to using it as a glorified proxy, which is what every third-party "VPN provider" does.

  • A Russian translation of this article can be found here, contributed by Timur Demin.
  • A Turkish translation can be found here, contributed by agyild.
  • There's also this article about VPN services, which is honestly better written (and has more cat pictures!) than my article.
@karpathy
karpathy / min-char-rnn.py
Last active September 18, 2024 06:45
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)