Sequence modelling applied to event collisions
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Updated
Jun 12, 2019 - Python
Sequence modelling applied to event collisions
Coursera Deep Learning Specialization offered by DeepLearning.AI
Sequence Models in NLP
ESN implementation in Matlab
Assignments on Deep Learning Specialization created by Andrew Ng
A demo for predicting patient health status via diagnosis and prescription drugs. Key methods: (simple) EHR-sequencing, NLP, classification algorithms (e.g. logistic regression, decision tree)
Label slots in user queries
📝 Solved Programming Assignments of Deep Learning Specialization on Coursera
Final project for NYU Deep Learning course
Deep Learning Specialization by Andrew Ng, Coursera
Differentiable Sequence Models
Different methods by which stock prices can be predicted. Last Value Method. Moving Average. Linear Regression. Exponential Weighted Moving Average. Sequence Models
PyTorch tutorials
Offered by deeplearning.ai via Coursera. The course is taught by Younes Bensouda Mourri, Łukasz Kaiser, and Eddy Shyu.
The Deep Learning Specialization to prepare for the development of cutting-edge AI projects, and to understand the capability, the challenges, and the consequences of the rise of deep learning. Five interconnected courses.
Long short-term memory (LSTM) trained on a corpus of music to generate novel music
Generate music with LSTM model
Andrew Ng: Deep Learning 5 Course Specialization
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