freeCodeCamp Tensorflow Courses List

FreeCodeCamp offers a range of Tensorflow courses to help users learn the fundamentals of the popular open source library. With freeCodeCamp's comprehensive curriculum, users can gain a deep understanding of Tensorflow and its applications. The courses are designed to help users develop the skills needed to build powerful machine learning models.

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4 Related Courses

for freeCodeCamp Tensorflow Courses
Free

TensorFlow 20 Complete Course - Python Neural Networks for Beginners Tutorial

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5.0/5
freeCodeCamp freeCodeCamp 5 5 learners
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This TensorFlow 20 Complete Course is an excellent introduction to Python Neural Networks for beginners. It covers the fundamentals of machine learning, introduces TensorFlow, and covers core learning algorithms. It also covers neural networks with TensorFlow, deep computer vision with convolutional neural networks, natural language processing with RNNs, and reinforcement learning with Q-Learning. The course concludes with a summary and next steps. This course is a great way to get started with TensorFlow and neural networks. View all

Free

Learn TensorFlowjs - Deep Learning and Neural Networks with JavaScript

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4.0/5
freeCodeCamp freeCodeCamp 2 2 learners
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This course provides an introduction to deep learning and neural networks using JavaScript. It covers topics such as converting a Keras model to the Layers API format, serving deep learning models with Node.js and Express, building a UI for a neural network web app, and loading a model into a neural network. Participants will gain the skills to create and deploy their own deep learning models. View all

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Free

TensorFlow 20 Crash Course

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4.0/5
freeCodeCamp freeCodeCamp 2 2 learners
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A Neural Network is a powerful tool for machine learning, and TensorFlow 2.0 Crash Course provides an introduction to its use. Participants learn how to load and look at data, create a model, use the model to make predictions, and classify text. An Embedding Layer is also discussed, allowing for more accurate text classification. With this course, participants gain the skills to use TensorFlow 2.0 to create and use Neural Networks. View all

Free

TensorFlow Lite for Edge Devices - Tutorial

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5.0/5
freeCodeCamp freeCodeCamp 1 1 learners
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TensorFlow Lite is a powerful tool for deploying machine learning models on edge devices. Edge computing is gaining popularity due to its ability to process data closer to the source, reducing latency and cost. However, deploying models on edge devices can be challenging. TensorFlow Lite is a lightweight solution that enables developers to deploy models on edge devices with ease. It is a great tool for taking advantage of the benefits of edge computing. View all

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