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Volver a TensorFlow for CNNs: Learn and Practice CNNs

Opiniones y comentarios de aprendices correspondientes a TensorFlow for CNNs: Learn and Practice CNNs por parte de Coursera Project Network

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This guided project course is part of the "Tensorflow for Convolutional Neural Networks" series, and this series presents material that builds on the second course of DeepLearning.AI TensorFlow Developer Professional Certificate, which will help learners reinforce their skills and build more projects with Tensorflow. In this 2-hour long project-based course, you will learn the fundamentals of CNNs, structure, components, and how they work, and you will learn practically how to solve an image classification deep learning task in the real world and create, train, and test a neural network with Tensorflow using real-world images, and you will get a bonus deep learning exercise implemented with Tensorflow. By the end of this project, you will have learned the fundamentals of convolutional neural networks and created a deep learning model with TensorFlow on a real-world dataset. This class is for learners who want to learn how to work with convolutional neural networks and use Python for building convolutional neural networks with TensorFlow, and for learners who are currently taking a basic deep learning course or have already finished a deep learning course and are searching for a practical deep learning project with TensorFlow. Also, this project provides learners with further knowledge about creating and training convolutional neural networks and improves their skills in Tensorflow which helps them in fulfilling their career goals by adding this project to their portfolios....
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1 - 6 de 6 revisiones para TensorFlow for CNNs: Learn and Practice CNNs

por Diego F B H

27 de oct. de 2020

An excellent way to explain this topic 😎


21 de nov. de 2020


por Sasisrivundavilli

21 de nov. de 2020


por kavya c

30 de ene. de 2023

Good explanation and used for basics review. Easy to access files.

por Ghada E

1 de dic. de 2021


por Lasal J

19 de abr. de 2021

The content was there but the explanation is below average. Overall, it wasn't up to my expectations. :(