2017-09-30 (Sat)
1,125 views
1,125 views
Find Word Semantic by Using Word2vec in TensorFlow
Naive Word2vec implementation using Tensorflow
2017-09-26 (Tue)
438 views
438 views
Simple Convolutional Neural Network using TensorFlow
The goal here is to practice building convolutional neural networks to classify notMNIST characters using TensorFlow. As image size become bigger and bigger, it become unpractical to train fully-connected NN because there will be just too many parameters and thus the model will overfit very soon. And CNN solve this problem by weight sharing. We will start by building a CNN with two convolutional layers connected by a fully connected layer and then try also pooling layer and other thing to improve the model performance.
2017-09-25 (Mon)
844 views
844 views
Regularization for Multi-layer Neural Networks in Tensorflow
The goal of this assignment is to explore regularization techniques.
2017-09-21 (Thu)
3,554 views
3,554 views
Using TensorFlow to Train a Shallow NN with Stochastic Gradient Descent
The goal here is to progressively train deeper and more accurate models using TensorFlow. We will first load the notMNIST dataset which we have done data cleaning. For the classification problem, we will first train two logistic regression models use simple gradient descent, stochastic gradient descent (SGD) respectively for optimization to see the difference between these optimizers.