Recurrent Neural Networks (RNN) Courses and Certifications

Using GPUs to Scale and Speed-up Deep Learning

1 rating

Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.

• edX
• 5 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course

EDUCBA Credential

Deep Learning with Python: CNN, ANN & RNN

47 ratings at Coursera

Master CNNs, ANNs, and RNNs through hands-on projects in image recognition, churn prediction, and stock forecasting using TensorFlow and Keras for real-world AI applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Credential

Data Analytics and Deep Learning

40 ratings at Coursera

Master data preprocessing, big data technologies, and deep learning models with hands-on experience in neural networks and predictive analytics using industry-relevant tools.

• Coursera
• 24 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Create a Superhero Name Generator with TensorFlow

38 ratings at Coursera

Build a neural network to generate superhero names using TensorFlow. Learn character-level language modeling and text generation techniques with a dataset of 9000+ fictional character names.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Edureka

Machine Learning and NLP Basics

33 ratings at Coursera

Comprehensive exploration of machine learning, deep learning, and NLP fundamentals. Covers core concepts, algorithms, and practical applications, equipping learners with essential skills for AI and data science.

• Coursera
• 19 hours 31 minutes
• Self-Paced
• Paid Course

Deep Learning with TensorFlow and Keras

17 ratings at edX

Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techni…

• edX
• 5 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

EDUCBA

Deep Learning RNN & LSTM: Stock Price Prediction

11 ratings at Coursera

Master RNN and LSTM techniques to build stock price prediction models using real Apple data, from preprocessing to evaluation with hands-on Python implementation.

• Coursera
• 5 hours 9 minutes
• Self-Paced
• Paid Course

Applied Deep Learning: Build a Chatbot - Theory, Application

1019 ratings at Udemy

Understand the Theory of how Chatbots work and implement them in Python and PyTorch!

• Udemy
• 6 hours 10 minutes
• Self-Paced
• Free Online Course

Packt Credential

Recommender Systems

7 ratings at Coursera

Master advanced recommender systems using machine learning, deep learning models like RNNs and LSTMs, and build real-world recommendation engines with TensorFlow and Python.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

EDUCBA Credential

AI Deep Learning Projects with TensorFlow

7 ratings at Coursera

Master practical deep learning by building neural networks, image captioning systems, and face mask detection apps using TensorFlow, with deployment on Streamlit and AWS.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Packt Credential

Deep Learning with TensorFlow

6 ratings at Coursera

Master deep learning with TensorFlow through ANNs, RNNs, and CNNs. Build models for image classification, time series prediction, and NLP using real datasets and optimization techniques.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Packt Credential

Deep Learning: Recurrent Neural Networks with Python

5 ratings at Coursera

Master RNNs, GRUs, and LSTMs for deep learning tasks. Build and implement neural networks using TensorFlow, culminating in projects like automatic book writing and stock price prediction.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Deep Learning

Master the fundamentals of neural networks, from MLPs and CNNs to RNNs and Transformers, through hands-on programming and practical training techniques for building modern AI systems.

• edX
• 6 weeks, 6-8 hours/week
• Self-Paced
• Free Online Course (Audit)

Deep Learning Essentials

Explore fundamental concepts of deep learning, including neural networks, convolutional and recurrent architectures, and their applications in various industries. Gain insights into fairness and bias in machine learning.

• edX
• 5 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Applied Natural Language Processing in Engineering Part 2

Master advanced NLP techniques including RNNs, transformers, sentiment analysis, and neural machine translation through hands-on implementation with PyTorch and Hugging Face frameworks.

• Coursera
• 1 day 9 hours 37 minutes
• Self-Paced
• Paid Course