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| [[:Категория:Работа]]
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| Machine Learning with TensorFlow Book by Nishant Shukla
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| https://github.com/BinRoot/TensorFlow-Book/
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| = Chapter 1 =
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| = 1.4.1 Supervised learning =
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| Descrete with few values - Classifier
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| Many values and the values have natural order - Regressor
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| = 1.4.2. Unsupervised learning =
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| Clustering is the process of splitting the data into individual buckets of similar items.
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| Dimensionality reduction is about manipulating the data to view it under a much simpler perspective.
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| = 1.4.3 Reinforcement learning =
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| Reinforcement learning trains on information gathered by observing how the environment reacts to actions.
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| = 2. Tensorflow opertators =
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| tf.constant
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| tf.zeros
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| tf.ones
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| tf.negative
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| tf.add(x, y)—Adds two tensors of the same type, x + y
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| tf.subtract(x, y)—Subtracts tensors of the same type, x – y
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| tf.multiply(x, y)—Multiplies two tensors element-wise
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| tf.pow(x, y)—Takes the element-wise x to the power of y
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| tf.exp(x)—Equivalent to pow(e, x), where e is Euler’s number (2.718 ...)
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| tf.sqrt(x)—Equivalent to pow(x, 0.5)
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| tf.div(x, y)—Takes the element-wise division of x and y
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| tf.truediv(x, y)—Same as tf.div, except casts the arguments as a float
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| tf.floordiv(x, y)—Same as truediv, except rounds down the final answer into an integer
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| tf.mod(x, y)—Takes the element-wise remainder from division
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| -> 2.4. Executing operators with sessions
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| [[Категория:Работа]]
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| [[Категория:Linux]]
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| [[Категория:Docker]]
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| [[Категория:AI]]
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