Hi,
I will scrap the containing text, videos and pictures and store in JSON format. It will be helpful if you provide the complete details and elaborate your requirements.
I am expertise in modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods. Has strong implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting.
I used libraries like- Pandas, Numpy, Sci-kit Learn, matplotlib.
Here are the created one please have a look:-
1) Highway networks to get an intuition for how they work. Highway networks, inspired by LSTMs, are a method of constructing networks with hundreds, even thousands, of layers.
2) LSTMs for Human Activity Recognition
Human activity recognition using smartphones dataset and an LSTM RNN. Classifying the type of movement amongst six categories:
WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING.
3) Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Prediction
I did experiment with the seq2seq neural network architecture
In this project are given 4 exercises of gradually increasing difficulty. I take for granted that the public already have at least knowledge of basic RNNs and how can they be shaped into an encoder and a decoder of the most simple form.
Best Regards
Yuvraj Kakkar