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Introduction to Neural Networks and PyTorch
Coursera
Course
Unknown

Introduction to Neural Networks and PyTorch

IBM

PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, professionals with PyTorch skills are in high demand. This course is ideal for AI engineers looking to gain job-ready skills in PyTorch that will catch the eye of an employer. AI developers use PyTorch to design, train, and optimize neural networks to enable computers to perform tasks such as image recognition, natural language processing, and predictive analytics. During this

Unknown6 weeks98,115 enrolled

About this Course

PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, professionals with PyTorch skills are in high demand. This course is ideal for AI engineers looking to gain job-ready skills in PyTorch that will catch the eye of an employer. AI developers use PyTorch to design, train, and optimize neural networks to enable computers to perform tasks such as image recognition, natural language processing, and predictive analytics. During this

What You'll Learn

  • Job-ready PyTorch skills employers need in just 6 weeks
  • How to implement and train linear regression models from scratch using PyTorch’s functionalities
  • Key concepts of logistic regression and how to apply them to classification problems
  • How to handle data and train models using gradient descent for optimization

Instructors

J

Joseph Santarcangelo

IBM Developer Skills Network

Topics

PyTorch
الانحدار الخطي
الانحدار اللوجستي
تجهيز البيانات
تقييم النماذج

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

PyTorch
الانحدار الخطي
الانحدار اللوجستي
تجهيز البيانات
تقييم النماذج
Tensorflow
Data Preprocessing
Logistic Regression
Probability & Statistics

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