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Tensor Flow Machine Learning Models
This free online course in Tensor Flow machine learning models will begin by introducing you to the mathematical aspects of deep learning. You will also be introduced to the tensors encountered in machine learning practice the key tensor operations in deep learning and the basics of training and regularization in deep learning. This course explains how to build input pipelines for TensorFlow and the various methods of creating datasets.The course then introduces the process for text processing with Tensorflow. You will also learn about the concept of tokenization the function of tokenizers embedding text operations and the conversion of strings. Next you will learn how to load text into datasets encode datasets into numbers and how to build a vocabulary set.The course then explains how to build a neural network model for an image classification task using Tensorflow Keras API. You will also learn about the feed-forward neural network and the fashion MNIST data set. This course analyzes the process and significance of building models for structured data using TensorFlow API. You will also learn about the types of feature columns and demonstrate how to transform a column from the data frame.
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Disclaimer: Some of the links on this website are affiliate links, meaning we may earn a commission if you click through and make a purchase. This comes at no additional cost to you.
By clicking the button above, you acknowledge that you will be redirected to a third-party website and agree to their terms and conditions.
Product information, including title, description, and images, is sourced/provided by our affiliate partner, Alison US CA.
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Share this product with a friend:
Refer a friend and earn 0.05 CEC when they click the link, plus an additional 1.00 CEC if they register. Share this Product and boost your earnings together!