What you’ll discover in Deep Discovering: Recurrent Neural Networks in Python
- Apply RNNs to Time Series Projecting (take on the ubiquitous “Stock Prediction” issue)
- Apply RNNs to All-natural Language Processing (NLP) and also Text Category (Spam Detection)
- Use RNNs to Picture Category
- Recognize the easy reoccurring system (Elman system), GRU, and LSTM (lengthy short-term memory device)
- Compose numerous reoccurring networks in Tensorflow 2
- Understand just how to alleviate the vanishing slope trouble
*** NOW IN TENSORFLOW 2 and also PYTHON 3 ***
Find out about one of one of the most powerful Deep Understanding architectures yet!
The Recurrent Semantic Network (RNN) has been utilized to get state-of-the-art cause sequence modeling.
This includes time series evaluation, projecting as well as natural language processing (NLP).
Learn about why RNNs beat old-school device finding out formulas like Hidden Markov Models.
This training course will show 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 :||1.57 gb|
|Publisher :||Lazy Programmer Inc.|
|Updated and Published:||07 Jul,2022|