Intense Understanding in Python | Neural Platforms for Buying and selling | System Practicing Techniques | Quantra

Deep Learning in Python | Neural Networks for Trading | Machine Learning Algorithms | Quantra

** Neural Networks for Trading: https://quantra.quantinsti.com/course/neural-networks-deep-learning-trading-ernest-chan ** START FOR FREE!
This Quantra video on Deep Learning in Python will give you an overview of a course for quants and traders to implement neural network and deep learning in financial markets. Offered by Dr. Ernest Chan, learn to use advanced techniques such as LSTM, RNN in live trading. Below are the topics covered in this course:

1. Neural Networks Trading Strategy
2. Adding deep learning layers
3. Recurrent Neural Networks
4. Long Short Term Memory units
5. Cross Validation in Keras
6. Live Trading models

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#deeplearning #RNN #LSTM #machinelearningalgorithms

Quantra is an online education portal that specializes in Algorithmic and Quantitative trading. Quantra offers various bite-sized, self-paced and interactive courses that are perfect for busy professionals, seeking implementable knowledge in this domain.

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Cryptocurrency-predicting RNN release that Intense Learning w/ Python, TensorFlow and Keras p.8

Welcome to part 8 of the Deep Learning with Python, Keras, and Tensorflow series. In this tutorial, we’re going to work on using a recurrent neural network to predict against a time-series dataset, which is going to be cryptocurrency prices.

Text tutorials and sample code: https://pythonprogramming.net/cryptocurrency-recurrent-neural-network-deep-learning-python-tensorflow-keras/

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