Pluralsight Tensorflow Courses List

This course provides an introduction to deep learning techniques with TensorFlow 2.4, focusing on the application of these methods to detect and mitigate anomalies in data such as time series. Participants will gain the skills to create deep-learning algorithms for data anomaly detection.View all

This course provides an in-depth exploration of End-to-End Machine Learning with TensorFlow on Google Cloud Platform. Participants will learn to build an end-to-end model from data exploration to deploying an ML model and obtaining predictions.View all

This course provides an overview of how to deploy TensorFlow models to the cloud platforms of Azure, AWS, and GCP. Learn how to take your TensorFlow model and deploy it locally or to the cloud of your choice.View all

This course provides an introduction to deep learning and TFLearn, allowing learners to quickly build and deploy multi-layer neural networks. With the help of Tensorflow and TFLearn, learners will gain the skills to create and implement their own neural networks.View all

This course provides an introduction to TensorFlow 2.0, exploring its features and functionality for building and training neural networks. It covers the differences between TensorFlow 1.x and 2.0, as well as how the Keras high-level API and eager execution make TensorFlow 2.0 easy to use for complex models.View all

Elevate your skills in Serverless Machine Learning with TensorFlow on Google Cloud Platform! Explore the seamless integration of AI and cloud computing for powerful machine learning applications. #ServerlessML #GoogleCloud #TensorFlow #AIInstituteView all

This course provides an overview of strategies for building an image classifier using convolutional neural networks on Google Cloud Platform. Participants will learn how to improve accuracy with augmentation, feature extraction, and hyperparameter tuning, as well as how to address practical issues such as data scarcity. Through hands-on labs, participants will gain experience building and optimizing image classification models on public datasets.View all

This course provides an introduction to building recommendation systems with TensorFlow on Google Cloud Platform. Students will learn to use classification models and embeddings to create a machine learning pipeline that functions as a recommendation engine.View all

This course provides an introduction to building a machine learning workflow with Keras and TensorFlow 2.0. It covers the use of sequential APIs, functional APIs, model subclassing, and custom layers to create complex models.View all

This course explores the tf.data module, a unified interface for managing data pipelines in TensorFlow 2.0. Participants will learn how to use this module to simplify and streamline their data pipelines.View all

This course provides an introduction to predictive analytics using TensorFlow, a popular open-source library for data science and machine learning. Participants will learn the fundamentals of supervised learning, recommendation, and reinforcement systems, enabling them to build powerful predictive models.View all

This course teaches developers how to use TensorFlow.js to create, train, and deploy machine learning and deep learning models in JavaScript. Participants will gain the skills to power client-side and server-side applications with machine learning, enabling them to build powerful machine learning solutions.View all

In this course, learners will use TensorFlow and Google Cloud to build a recommendation system. Through the use of classification models and embeddings, learners will create a machine learning pipeline to create a powerful recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.View all

Get a comprehensive overview of Introduction to TensorFlow View all

Explore the essentials of TensorFlow on Google Cloud View all