What you’ll discover in Deep Discovering: Recurrent Neural Networks in Python
- Apply RNNs to Time Collection Projecting (tackle the ubiquitous “Stock Forecast” problem)
- Apply RNNs to Natural Language Processing (NLP) and also Text Category (Spam Detection)
- Apply RNNs to Photo Category
- Recognize the simple frequent system (Elman device), GRU, and LSTM (long temporary memory device)
- Write different recurrent networks in Tensorflow 2
- Understand exactly how to mitigate the disappearing gradient trouble
*** NOW IN TENSORFLOW 2 as well as PYTHON 3 ***
Discover one of the most powerful Deep Understanding designs yet!
The Recurrent Neural Network (RNN) has actually been made use of to obtain advanced results in sequence modeling.
This includes time series analysis, projecting and all-natural language processing (NLP).
Learn more about why RNNs beat traditional device discovering formulas like Hidden Markov Designs.
This training course will certainly teach you:
Who this course is for:
- 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
|File Name :||Deep Learning: Recurrent Neural Networks in Python free download|
|Genre / Category:||Data Science|
|File Size :||6.48 gb|
|Publisher :||Lazy Programmer Inc.|
|Updated and Published:||07 Jul,2022|