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osipov / parks.ipynb
Created April 22, 2019 21:55
parks.ipynb
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osipov / tensorflow.r
Last active April 24, 2019 01:19
# Setup the model
x <- tf$placeholder(tf$float32, shape(NULL, 1024L))
W <- tf$Variable(tf$zeros(shape(1024L, 10L)))
b <- tf$Variable(tf$zeros(shape(10L)))
t <- tf$nn$softmax(tf$matmul(x, W) + b)
# Specify the loss and optimizer
t_ <- tf$placeholder(tf$float32, shape(NULL, 10L))
xent <- tf$reduce_mean(-tf$reduce_sum(t_ * log(t), reduction_indices=1L))
batch_step <- tf$train$GradientDescentOptimizer(0.5)$minimize(xent)
titanic_train_ds <- csv_record_spec("titanic.train.csv")
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osipov / tensorflow.md
Last active April 24, 2019 01:10
TensorFlow w/R

Using TensorFlow in R

Chapter 1 - Your first "Hello World" neural network with TensorFlow in R

  • Lesson 1.1 - Getting started with TensorFlow

    • A learning objective: Create tensors in R and use the building blocks of TensorFlow APIs

  • Lesson 1.2 - Implementing graphs and loops in TensorFlow

    • A learning objective: Implement a multilayer neural network and evaluate it for predictions against a sample dataset

  • Lesson 1.3 - Training a neural network with gradient descent

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osipov / probability
Created April 10, 2022 18:24
WITH Customers AS (
(SELECT 1 AS Customer, 1 AS Tea, 1 AS Scones) UNION ALL
(SELECT 2 AS Customer, 0 AS Tea, 1 AS Scones) UNION ALL
(SELECT 3 AS Customer, 0 AS Tea, 0 AS Scones) UNION ALL
(SELECT 4 AS Customer, 0 AS Tea, 0 AS Scones) UNION ALL
(SELECT 5 AS Customer, 1 AS Tea, 1 AS Scones) UNION ALL
(SELECT 6 AS Customer, 1 AS Tea, 0 AS Scones) UNION ALL
(SELECT 7 AS Customer, 1 AS Tea, 0 AS Scones) UNION ALL
(SELECT 8 AS Customer, 1 AS Tea, 1 AS Scones) UNION ALL
(SELECT 9 AS Customer, 1 AS Tea, 0 AS Scones) UNION ALL