Deep Learning Neural Network with R

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6 STUDENTS

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Overview:

Welcome to our comprehensive online course, “Deep Learning Neural Network with R,” designed to empower you with the skills needed to harness the potential of deep learning using the R programming language. Throughout this course, you will explore the foundations of deep neural networks and learn how to implement them effectively in R. With a focus on practical applications, you’ll gain hands-on experience in building and training neural networks for various tasks, from image recognition to natural language processing. Whether you’re a data scientist, researcher, or enthusiast, this course equips you with the knowledge and tools to leverage deep learning techniques in your projects.

  • Interactive video lectures by industry experts
  • Instant e-certificate and hard copy dispatch by next working day
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified first aid professionals
  • Self paced learning and laptop, tablet, smartphone friendly
  • 24/7 Learning Assistance
  • Discounts on bulk purchases

Main Course Features:

  • Comprehensive coverage of deep learning concepts
  • Hands-on coding exercises and projects in R
  • Guidance on building, training, and evaluating neural networks
  • Exploration of advanced topics such as convolutional and recurrent neural networks
  • Practical applications in image classification, text generation, and more

Who Should Take This Course:

  • Data scientists interested in deep learning
  • Programmers proficient in R looking to expand their skill set
  • Researchers exploring advanced machine learning techniques

Learning Outcomes:

  • Understand the fundamentals of deep learning
  • Implement neural networks in R using frameworks like Keras and TensorFlow
  • Train deep learning models on large datasets
  • Fine-tune model parameters for improved performance
  • Apply deep learning to image recognition tasks
  • Generate text sequences using recurrent neural networks
  • Interpret model predictions and evaluate model performance
  • Stay updated with the latest advancements in deep learning research

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

Course Curriculum

Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1)
Reviewing Dataset 00:14:00
Creating Dataframes 00:09:00
Generating Output 00:12:00
Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2)
Running Neural Network Code 00:11:00
Importing Dataset 00:09:00
Neural Network Plots for Hidden Layer 1 00:08:00
Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1)
Syntax and Commands for MLP 00:11:00
Running the Code 00:08:00
Testing for Dataframes 00:13:00
Predict Results 00:08:00
Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2)
Creating R Folder 00:14:00
Generating Output Plot 00:12:00
Testing and Predicting the Outputs 00:16:00
Deep Learning Neural Network with R
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