Deep Learning: Recurrent Neural Networks in Python
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Deep Learning: Recurrent Neural Networks in Python
★★★★★
$15.00 in stock
Udemy.com
as of November 21, 2025 10:23 pm
GRU, LSTM, Time Series Forecasting, Stock Predictions, Natural Language Processing (NLP) using Artificial Intelligence
Created by:
Lazy Programmer Inc.
Artificial intelligence and machine learning engineer
Artificial intelligence and machine learning engineer
Created by:
Lazy Programmer Team
Artificial Intelligence and Machine Learning Engineer
Artificial Intelligence and Machine Learning Engineer
Rating:4.58 (5565reviews)
42001students enrolled
What Will I Learn?
- Apply RNNs to Time Series Forecasting (tackle the ubiquitous "Stock Prediction" problem)
- Apply RNNs to Natural Language Processing (NLP) and Text Classification (Spam Detection)
- Apply RNNs to Image Classification
- Understand the simple recurrent unit (Elman unit), GRU, and LSTM (long short-term memory unit)
- Write various recurrent networks in Tensorflow 2
- Understand how to mitigate the vanishing gradient problem
- Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion
Requirements
- Basic math (taking derivatives, matrix arithmetic, probability) is helpful
- Python, Numpy, Matplotlib
Target audience
- Students, professionals, and anyone else interested in Deep Learning, Time Series Forecasting, Sequence Data, or NLP
- Software Engineers and Data Scientists who want to level up their career
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