TensorFlow for CNNs: Transfer Learning

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Coursera Project Network
In diesem angeleitetes Projekt werden Sie:

Learn how to apply transfer learning to fine-tune a pre-trained model

Learn how to use existing models for creating a new model

Learn how to create a convolutional neural network with Tensorflow

Clock1.5 hours
IntermediateMittel
CloudKein Download erforderlich
VideoVideo auf geteiltem Bildschirm
Comment DotsEnglisch
LaptopNur Desktop

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 1.5-hour long project-based course, you will learn how to apply transfer learning to fine-tune a pre-trained model for your own image classes, and you will train your model with Tensorflow using real-world images. By the end of this project, you will have applied transfer learning on a pre-trained model to train your own image classification model with TensorFlow. This class is for learners who want to learn how to apply transfer learning to re-use pre-trained models to create a new model, 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 project. 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.

Kompetenzen, die Sie erwerben werden

  • Tensorflow,
  • Artificial Neural Network
  • Transfer Learning,
  • Deep Learning,
  • Convolutional Neural Networks,

Schritt für Schritt lernen

In einem Video, das auf einer Hälfte Ihres Arbeitsbereichs abgespielt wird, führt Sie Ihr Dozent durch diese Schritte:

  1. Introduction and overview of the project

  2. Setup and Use a Pretrained classifier

  3. Apply Transfer Learning

  4. Train the Model and Visualize Results

  5. Make Visualized Predictions

Ablauf angeleiteter Projekte

Ihr Arbeitsbereich ist ein Cloud-Desktop direkt in Ihrem Browser, kein Download erforderlich

Ihr Dozent leitet Sie in einem Video mit geteiltem Bildschirm Schritt für Schritt an.

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