Deep Learning Neural Network with R
Deep Learning Neural Network with R
- Interactive video lectures by industry experts
- Developed by qualified first aid professionals
- Instant e-certificate and hard copy dispatch by next working day
- Fully online, interactive course with audio voiceover
- 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
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
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
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. 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
Reviewing Dataset 
00:14:00 Creating Dataframes 00:09:00 Generating Output 00:12:00
Running Neural Network Code 00:11:00 Importing Dataset 00:09:00 Neural Network Plots for Hidden Layer 1 00:08:00
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
Creating R Folder 00:14:00 Generating Output Plot 00:12:00 Testing and Predicting the Outputs 00:16:00
Student Ratings & Reviews
