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oppenalimonky · Aug 14, 2017 · 17d4ef7 · 17d4ef7
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diff --git a/Building-Machine-Learning-Projects-with-TensorFlow-master/1/indexed_operations.py b/Building-Machine-Learning-Projects-with-TensorFlow-master/1/indexed_operations.py
@@ -0,0 +1,16 @@
+import tensorflow as tf 
+sess = tf.InteractiveSession()
+x = tf.constant([[2, 5, 3, -5], 
+                 [0, 3,-2,  5], 
+                 [4, 3, 5,  3], 
+                 [6, 1, 4,  0]]) 
+listx = tf.constant([1,2,3,4,5,6,7,8])
+listy = tf.constant([4,5,8,9])
+
+boolx = tf.constant([[True,False], [False,True]])
+
+tf.argmin(x, 1).eval() # Position of the maximum value of columns
+tf.argmax(x, 1).eval() # Position of the minimum value of rows
+tf.setdiff1d(listx, listy)[0].eval() # List differences
+tf.where(boolx).eval() # Show true values
+tf.unique(listx)[0].eval() # Unique values in list
diff --git a/Building-Machine-Learning-Projects-with-TensorFlow-master/1/iris.csv b/Building-Machine-Learning-Projects-with-TensorFlow-master/1/iris.csv
@@ -0,0 +1,151 @@
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+
diff --git a/Building-Machine-Learning-Projects-with-TensorFlow-master/1/matrix_operations.py b/Building-Machine-Learning-Projects-with-TensorFlow-master/1/matrix_operations.py
@@ -0,0 +1,24 @@
+import tensorflow as tf 
+sess = tf.InteractiveSession()
+
+x = tf.constant([[2, 5, 3, -5], 
+                 [0, 3,-2,  5], 
+                 [4, 3, 5,  3], 
+                 [6, 1, 4,  0]]) 
+
+y = tf.constant([[4, -7, 4, -3, 4], 
+                 [6, 4,-7,  4, 7], 
+                 [2, 3, 2,  1, 4], 
+                 [1, 5, 5,  5, 2]])
+
+floatx = tf.constant([[2., 5., 3., -5.], 
+                      [0., 3.,-2.,  5.], 
+                      [4., 3., 5.,  3.], 
+                      [6., 1., 4.,  0.]]) 
+
+tf.transpose(x).eval() # Transpose matrix
+tf.matmul(x, y).eval() # Matrix multiplication
+tf.matrix_determinant(floatx).eval() # Matrix determinant
+tf.matrix_inverse(floatx).eval() # Matrix inverse
+tf.matrix_solve(floatx, [[1],[1],[1],[1]]).eval() # Solve Matrix system
+
diff --git a/Building-Machine-Learning-Projects-with-TensorFlow-master/1/new/indexed_operations.py b/Building-Machine-Learning-Projects-with-TensorFlow-master/1/new/indexed_operations.py
@@ -0,0 +1,16 @@
+import tensorflow as tf 
+sess = tf.InteractiveSession()
+x = tf.constant([[2, 5, 3, -5], 
+                 [0, 3,-2,  5], 
+                 [4, 3, 5,  3], 
+                 [6, 1, 4,  0]]) 
+listx = tf.constant([1,2,3,4,5,6,7,8])
+listy = tf.constant([4,5,8,9])
+
+boolx = tf.constant([[True,False], [False,True]])
+
+tf.argmin(x, 1).eval() # Position of the maximum value of columns
+tf.argmax(x, 1).eval() # Position of the minimum value of rows
+tf.listdiff(listx, listy)[0].eval() # List differences
+tf.where(boolx).eval() # Show true values
+tf.unique(listx)[0].eval() # Unique values in list
diff --git a/Building-Machine-Learning-Projects-with-TensorFlow-master/1/new/iris.csv b/Building-Machine-Learning-Projects-with-TensorFlow-master/1/new/iris.csv
@@ -0,0 +1,151 @@
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+
diff --git a/Building-Machine-Learning-Projects-with-TensorFlow-master/1/new/matrix_operations.py b/Building-Machine-Learning-Projects-with-TensorFlow-master/1/new/matrix_operations.py
@@ -0,0 +1,24 @@
+import tensorflow as tf 
+sess = tf.InteractiveSession()
+
+x = tf.constant([[2, 5, 3, -5], 
+                 [0, 3,-2,  5], 
+                 [4, 3, 5,  3], 
+                 [6, 1, 4,  0]]) 
+
+y = tf.constant([[4, -7, 4, -3, 4], 
+                 [6, 4,-7,  4, 7], 
+                 [2, 3, 2,  1, 4], 
+                 [1, 5, 5,  5, 2]])
+
+floatx = tf.constant([[2., 5., 3., -5.], 
+                      [0., 3.,-2.,  5.], 
+                      [4., 3., 5.,  3.], 
+                      [6., 1., 4.,  0.]]) 
+
+tf.transpose(x).eval() # Transpose matrix
+tf.matmul(x, y).eval() # Matrix multiplication
+tf.matrix_determinant(floatx).eval() # Matrix determinant
+tf.matrix_inverse(floatx).eval() # Matrix inverse
+tf.matrix_solve(floatx, [[1],[1],[1],[1]]).eval() # Solve Matrix system
+