Recurrent Neural Networks (RNN) Courses and Certifications

Time Series Forecasting with LSTMs

Build, evaluate, and optimize PyTorch LSTM models for time series forecasting, including sequence-shape handling, error metrics, regularization, and early stopping.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Deep Learning

23 ratings

En este curso aprenderás que es una red neuronal, como crear una red neuronal, entrenar una red neuronal con un conjunto de imágenes.

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

Sequences, Time Series and Prediction

5165 ratings at Coursera

Course 4 of the deeplearning.ai TensorFlow Specialization will teach you how to solve time series and forecasting problems using RNNs, ConvNets, and the WaveNet architecture.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Natural Language Processing with Sequence Models

1186 ratings at Coursera

Build sequence models for text: an RNN Shakespeare generator, GRU language model, LSTM named entity recognizer, and Siamese network for duplicate question detection.

• Coursera
• 3 weeks, 7 hours a week
• Self-Paced
• Paid Course

Advanced Neural Network Techniques

Explore advanced neural architectures: handle sequence data with RNNs, learn unsupervised representations with autoencoders, study generative models like GANs, and solve decision problems with deep Q-learning.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Natural Language Processing on Google Cloud

540 ratings at Coursera

Build NLP models in TensorFlow — DNN, RNN, LSTM, GRU — run an end-to-end text classification workflow with AutoML on Vertex AI, and survey transformers and BERT.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

fast.ai

Practical Deep Learning For Coders

7 ratings

Learn how to get a GPU server online suitable for deep learning— to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.

• Independent
• 7 weeks, 10 hours a week
• Self-Paced
• Free Online Course

Introduction to Deep Learning

18 ratings at Coursera

Build neural networks from first principles: derive forward passes and backpropagation, train and regularize deep models, design CNNs, and apply RNNs, LSTMs, attention, transformers, and CLIP.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Stanford CS224N - Natural Language Processing with Deep Learning 2023

Master cutting-edge neural networks for NLP, from word vectors to Transformers, with hands-on tutorials covering RNNs, attention mechanisms, and modern language models.

• YouTube
• 1 day 5 hours 12 minutes
• Self-Paced
• Free Video

Stanford CS224N - Natural Language Processing with Deep Learning - Winter 2021

Master neural networks, transformers, and attention mechanisms for text processing, translation, and language generation through Stanford's comprehensive deep learning approach.

• YouTube
• 1 day 7 hours 31 minutes
• Self-Paced
• Free Video

Natural Language Processing with Deep Learning in Python

8590 ratings at Udemy

Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets

• Udemy
• 12 hours 3 minutes
• Self-Paced
• Paid Course

Deep Learning: Advanced Natural Language Processing and RNNs

7723 ratings at Udemy

Natural Language Processing (NLP) with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!

• Udemy
• 8 hours 22 minutes
• Self-Paced
• Paid Course

PyTorch for Deep Learning with Python Bootcamp

5562 ratings at Udemy

Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!

• Udemy
• 17 hours 1 minute
• Self-Paced
• Paid Course

Customising your models with TensorFlow 2

196 ratings at Coursera

Build customised deep learning models with the Keras functional API, tf.data pipelines, RNN sequence models and custom training loops, then a neural translation model.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Deep Learning with Python and Keras

3409 ratings at Udemy

Understand and build Deep Learning models for images, text and more using Python and Keras

• Udemy
• 9 hours 57 minutes
• Self-Paced
• Paid Course