After HMMs, let’s work on a Trigram HMM directly on texts.First will introduce the model, then pieces of code for practicing. But not going to give a full solution as the course is still going every year, find out more in references.
Category Archives: Python
PGM 02: Lots of Markov Family members: MC, PMN, CRF…
Markov Chain Markov Process is a kind of random process. The main idea is given the current state of the system, its future state does not depend on its past states.
Deep Learning 08: Small Tricks(1)
I was optimizing my code for the ConvNet these days. Not all the methods are doing good, because I do not have very strong knowledge on the hyper-parameters. Anyway, just write something I’ve learnt here.
TensorFlow 04 : Implement a LeNet-5-like NN to classify notMNIST Images
The blog is a solution of Udacity DL Assignment 4, using a CNN to classify notMNIST images. Visit here to get a full version of my codes.
TensorFlow 03: MNIST and CNN
Tutorial please find here. https://www.tensorflow.org/versions/0.6.0/tutorials/mnist/pros/index.html
TensorFlow 02: Play with MNIST and Google DL Udacity Lectures
Something to say:
Python 03: find out intersection of two guest lists
Problem Two guest list from Meetup: DL and ML. Who is going to both meetups?
TensorFlow 01: multiple versions of numpy
Started to write another paper, also I am reading the DL Textbook, but still have time to try new things….the TensorFlow. Everything is in the website, but you are not along cuz errors are always be with you 😀
Python 02: interacts with Internet
About Protocols Transport Control Protocol..Works on the transport layer. TCP port numbers…
