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Convolutional Neural Networks in TensorFlow
Coursera
Course
Unknown

Convolutional Neural Networks in TensorFlow

DeepLearning.AI

This course teaches advanced techniques for using convolutional neural networks in machine learning, focusing on model improvement and strategies to prevent overfitting.

Unknown4 weeksEnglish

About this Course

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 2 of the DeepLearning.AI TensorFlow Developer Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. Y

What You'll Learn

  • Handle real-world image data
  • Plot loss and accuracy metrics
  • Explore strategies to prevent overfitting
  • Learn transfer learning and feature extraction

Instructors

L

Laurence Moroney

Topics

Convolutional Neural Networks
Data Preprocessing
Applied Machine Learning
Classification Algorithms
Deep Learning
Machine Learning
Image Analysis
Tensorflow
Model Evaluation
Keras (Neural Network Library)

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الشبكات العصبية الالتفافية
معالجة البيانات
تعلم الآلة التطبيقي
خوارزميات التصنيف
التعلم العميق
تعلم الآلة
تحليل الصور
TensorFlow
Model Evaluation
Keras (Neural Network Library)

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