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A classic southern snack that will keep you coming back! When you’re picking tomatoes for this recipe, make sure they are firm, and watch the tomatoes carefully during frying to ensure they don’t overcook. Otherwise, they will become mushy. We recommend serving them with our creamy buttermilk ranch. Happy dipping!


Vegan Lemon Lime Muffins Print Prep time 10 mins Cook time 30 mins Total time 1 hour 10 mins Author: Liz Cooks Serves: 25 Ingredients ½ c. all-purpose flour

½ c. unsalted butter, cold

½ tsp. baking soda

½ tsp. salt

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• I am gavin on github.
• I am xgavin (https://keybase.io/xgavin) on keybase.
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gavin

Hun 
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#! /usr/bin/env hy
(import [tensorflow :as tf])
(def W (tf.Variable [.3] tf.float32))
(def b (tf.Variable [-0.3] tf.float32))
(def x (tf.placeholder tf.float32))
(def linear-model (+ (* W x) b))
(def y (tf.placeholder tf.float32))
(def loss (tf.reduce_sum (tf.square (- linear-model y))))
(def loss (tf.reduce_sum (tf.square (- linear-model y))))
(def optimizer (tf.train.GradientDescentOptimizer 0.01))

gavin

#! /usr/bin/env hy
(import [tensorflow :as tf])
(def W (tf.Variable [.3] tf.float32))
(def b (tf.Variable [-0.3] tf.float32))
(def x (tf.placeholder tf.float32))
(def linear-model (* W (+ x b)))
(def y (tf.placeholder tf.float32))
(def loss (tf.reduce_sum (tf.square (- linear-model y))))
(def loss (tf.reduce_sum (tf.square (- linear-model y))))
(def optimizer (tf.train.GradientDescentOptimizer 0.01))

gavin

Keybase proof

I hereby claim:

• I am gavin on github.
• I am xgavin (https://keybase.io/xgavin) on keybase.
• I have a public key whose fingerprint is 59B0 4C26 7CB3 CA68 4319 ECBA 1F5E 7E4D 4466 A234

To claim this, I am signing this object: