xuwd11/cs231n_hws

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xuwd11/cs231n_hws

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My solution to assignments in Stanford CS231n: Convolutional Neural Networks for Visual Recognition (Spring 2018)

cs294-112_hws

My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning

Coursera-Bioinformatics

My solution to Bioinformatics Specialization (Finding Hidden Messages in DNA; Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology)

Dropout_Tutorial_in_PyTorch

Dropout as Regularization and Bayesian Approximation

Jupyter Notebook

Coursera_Data_Structures_and_Algorithms_Specialization

My solution to Data Structures and Algorithms Specialization (Algorithmic Toolbox; Data Structures; Algorithms on Graphs; Algorithms on Strings; Advanced Algorithms and Complexity; Genome Assembly Programming Challenge)

cs131_hws

My solution to assignments in Stanford CS131 Computer Vision: Foundations and Applications (Fall 2018)

Jupyter Notebook

15-213_labs

My solution to labs for self-study students in CS:APP3e.

Movie_Classification

Deep Learning for Movie Genre Classification (RNN; CNN; combined network)

Jupyter Notebook

QANet

A TensorFlow implementation of Google's QANet (https://openreview.net/pdf?id=B14TlG-RW)

cs207_Weidong_Xu

https://github.com/IACS-CS-207/cs207-F17

Jupyter Notebook