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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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Hun | |
Sugan | |
Dai | |
Pookee | |
Angel | |
Lovemol butt | |
Cherebe | |
Pame | |
Sweet Prove | |
Muggleseasu |
#! /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)) |
#! /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)) |
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