Версия 18:36, 25 февраля 2018

Machine Learning with TensorFlow Book by Nishant Shukla

Chapter 1 1.4.1 Supervised learning

Descrete with few values - Classifier

Many values and the values have natural order - Regressor

Clustering is the process of splitting the data into individual buckets of similar items.

Dimensionality reduction is about manipulating the data to view it under a much simpler perspective.

Reinforcement learning trains on information gathered by observing how the environment reacts to actions.

tf.constant

tf.zeros

tf.ones

tf.negative

@@ Строка 14: / Строка 14: @@
 = 1.4.2. Unsupervised learning =
-Clustering
+Clustering is the process of splitting the data into individual buckets of similar items.
+Dimensionality reduction is about manipulating the data to view it under a much simpler perspective.
+= 1.4.3 Reinforcement learning =
+Reinforcement learning trains on information gathered by observing how the environment reacts to actions.
+= 2 Tensorflow opertators =
+tf.constant
+tf.zeros
+tf.ones
+tf.negative
-Dimensionality reduction
 [[Категория:Работа]]