Machine Learning Algorithms

Keras Preprocessing Layers

Approach and learning to solve leetcode problems

Over 100s of layers 20 or more for preprocessing layers Preprocessing layers are regular layers. All layers have some configuration and mainly have configuration graph. Some layers have state. Example: Build a binarizer layer: No trainable weights in preprocessing layers. (It is preprocessing) No need to make preprocessing layers differentiable. No need for backpropagation. Mainly three domains of preprocessing layers: Natural Language Structured Data Images Natural Language: tf.keras.layers.TextVectorization: An input string (which can be sentences) and it will split the document into individual tokens and map each token to specific index turning document intoa numeric input that can be feed into model.

Table of Contents Overview: Overview: Anaconda is one of popular python distributions. Until recently, the individual repository could be freely used. However, recent changes to its terms of services prohibits free use of Anaconda repository. Even though this is applicable for the commercial version, the source code branches for some of these libaries are shared between individual edition and commercial version and thereby individual version is also not free anymore.