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General Nanodegree Information | |
Nanodegrees Programs: https://www.udacity.com/nanodegree | |
Nanodegree Plus (job guarantee): https://www.udacity.com/nanodegree/plus | |
UConnect (weekly in-person study sessions): https://www.udacity.com/uconnect | |
Courses on Udacity | |
Machine Learning Engineer Nanodegree by Google (Currently Available): https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009 | |
Artificial Intelligence for Robots (Free Course) https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373 | |
Intro to Statistics (Free Course) https://www.udacity.com/course/intro-to-statistics--st101 | |
Deep Learning (Free Course) https://www.udacity.com/course/deep-learning--ud730 |
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name: "GTANet" | |
# Can be used with pretrained Caffenet (AlexNet architecture). | |
# Layers with names containing 'gtanet' are not transferred from Caffenet. | |
layer { | |
name: "gta_frames_input_layer" | |
type: "HDF5Data" | |
top: "images" | |
top: "targets" |
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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
# hyperparameters | |
H = 200 # number of hidden layer neurons | |
batch_size = 10 # every how many episodes to do a param update? | |
learning_rate = 1e-4 | |
gamma = 0.99 # discount factor for reward |
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#include "ofMain.h" | |
#include "ofxTiming.h" | |
class ofApp : public ofBaseApp { | |
public: | |
ofVideoGrabber grabber; | |
DelayTimer delay; | |
ofTrueTypeFont font; | |
string description; | |