Deep Learning with Keras and Tensorflow in R

Learn to use convolutional neural networks for image recognition, character recognition and accurate predictions.
4.13 (20 reviews)
Udemy
platform
English
language
Data & Analytics
category
Deep Learning with Keras and Tensorflow in R
5 190
students
3.5 hours
content
Dec 2020
last update
$19.99
regular price

Why take this course?

🎉 Deep Learning with Keras and TensorFlow in R: Mastering Convolutional Neural Networks for Image Recognition 🎉

Course Instructor: Bogdan Anastasiei


Course Headline:

Dive into the world of deep learning with R! 🧙‍♂️✨


Course Description:

Are you ready to unlock the mysteries of convolutional neural networks within the powerful environment of R? This comprehensive course is designed to guide you through the process of building, training, and deploying these sophisticated models for a variety of image recognition tasks. Whether you're interested in face detection, character recognition, or predictive modeling, this course will equip you with the hands-on skills needed to excel.

What You Will Learn:

Foundations of Convolutional Neural Networks:

  • We'll start by demystifying the architecture and functioning of convolutional neural networks in a way that's easy to grasp, without getting bogged down in complex mathematics. 🧮

Technical Setup:

  • I'll walk you through the technical requirements to run Python commands within R, ensuring you have everything you need before we dive into coding. 📚

Building & Training Models:

  • The core sections of this course are dedicated to the practical aspects of creating, training, and evaluating convolutional neural networks using R. We'll begin with simpler numeric prediction problems to familiarize you with the process. 📈

Advanced Image Recognition:

  • You'll move on to more complex scenarios where the input is an image. Here's what we have in store:
    • Face Detection: Learn how to distinguish a human face from other objects, like trees or any other item. 👥👀
    • Wildlife Identification: Recognize images of animals such as bears, foxes, and mice. 🐻🦊🐭
    • Character Recognition: Distinguish between different characters, like an asterisk or a hashtag. ✨#
    • Handwritten Digit Classification: Master the art of recognizing and classifying handwritten numbers. ✍️

Real-World Applications:

  • With the techniques learned, you'll be well-equipped to tackle various image classification problems that can arise in real-life scenarios. 🌟

Practical Exercises:

  • The course culminates with practical exercises designed to solidify your skills and prepare you for a wide range of challenges in image recognition and classification. 🏋️‍♂️

This is your opportunity to step into the exciting field of deep learning, specifically focusing on image recognition and classification within R. While it's a complex domain, this course is tailored to be as accessible and straightforward as possible.

With expert guidance from instructor Bogdan Anastasiei, you'll navigate through each concept with clarity and confidence. 🚀

So why wait? Enroll now to start your journey into the depths of deep learning and unlock the full potential of R for image recognition tasks! 📲

See you in the course, and let's embark on this fascinating learning adventure together! 🚀📖🎉

Course Gallery

Deep Learning with Keras and Tensorflow in R – Screenshot 1
Screenshot 1Deep Learning with Keras and Tensorflow in R
Deep Learning with Keras and Tensorflow in R – Screenshot 2
Screenshot 2Deep Learning with Keras and Tensorflow in R
Deep Learning with Keras and Tensorflow in R – Screenshot 3
Screenshot 3Deep Learning with Keras and Tensorflow in R
Deep Learning with Keras and Tensorflow in R – Screenshot 4
Screenshot 4Deep Learning with Keras and Tensorflow in R

Loading charts...

3653860
udemy ID
23/11/2020
course created date
09/12/2020
course indexed date
Bot
course submited by