Recurrent Neural Network courses can help you learn sequence prediction, time series analysis, and natural language processing techniques. You can build skills in designing and training RNN architectures, optimizing model performance, and implementing long short-term memory (LSTM) networks. Many courses introduce tools like TensorFlow and Keras, that support developing AI applications that require handling sequential data, enabling you to apply your knowledge in practical scenarios.

Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Embeddings, Artificial Neural Networks, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Deep Learning, Programming Principles, Machine Learning, Text Mining, Data Manipulation, Markov Model, Data Preprocessing, Python Programming
★ 4.8 (12) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Model Training, Generative Model Architectures, Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Convolutional Neural Networks, Exploratory Data Analysis, Feature Engineering, Tensorflow, Model Training, Predictive Modeling, Transfer Learning, Applied Machine Learning, Machine Learning Methods, Application Development, Predictive Analytics, Model Evaluation, Machine Learning, Network Model, Analytics, Network Architecture, Design
Beginner · Specialization · 1 - 3 Months

Universidade de São Paulo
Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Artificial Neural Networks, Python Programming, Embeddings, Machine Learning Methods, Applied Machine Learning, Model Training
★ 4.5 (23) · Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Machine Learning, Computer Vision, Model Evaluation, Algorithms
★ 4.2 (10) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Model Training, Time Series Analysis and Forecasting
★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning
★ 2.3 (7) · Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning
★ 4.9 (9) · Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Computer Vision, Natural Language Processing
★ 4.5 (37) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision
Advanced · Course · 1 - 4 Weeks