Machine Learning with TensorFlow & Keras

by Accelebrate Claim Listing

Accelebrate's  Machine Learning with TensorFlow & Keras training teaches attendees how to develop real-world machine learning applications powered by TensorFlow and Keras, popular technologies for building production-grade deep learning models. Students also learn how to use an HTTP API to retrieve

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2 Days

Course Details

TensorFlow and Keras Training Overview

Accelebrate's  Machine Learning with TensorFlow & Keras training teaches attendees how to develop real-world machine learning applications powered by TensorFlow and Keras, popular technologies for building production-grade deep learning models. Students also learn how to use an HTTP API to retrieve model predictions.

 

Objectives

  • Understand the necessary technical requirements for developing a TensorFlow-powered application

  • Gain knowledge on different deep learning architectures and start to develop an intuition on what to chose for your problem

  • Experiment with different deep learning algorithms

  • Train and evaluate the performance of deep learning models

  • Combine your model with Flask to create an HTTP API that returns model predictions

 

Prerequisites

All students should have programming experience, familiarity with Python 3, and basic knowledge of web-applications (i.e., how the HTTP protocol works). Knowledge of the following topics are useful, but not required:

  • Machine learning concepts such as the bias and variance tradeoff, and accuracy estimation methods

  • Familiarity with other machine learning algorithms such as Support Vector Machines, Adaptive Boosting (a.k.a. "AdaBoost"), Naïve Bayes, and Logistic Regression

  • Knowledge of statistics, probability, linear algebra, and calculus

  • Experience with data-provisioning systems, including file systems (local and remote) and databases (SQL and NoSQL)

  • Atlanta Branch

    925B Peachtree Street, Atlanta

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