Fall CSE 400 AS 5 2018 Machine Intelligence with Deep Learning 11/07/2018 Homework 5: CNN using Neon Description In this homework you will practice how to create Convolutional Neural Network (CNN) in Python and Neon. You need to understand the concept of CNN and how to use Neon APIs. Instruction In this homework, you have […]
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University of Wollongong School of Computing and Information Technology CSCI446/946 Big Data Analytics Spring 2018 Assignment 3 (Due: 29 October 2018, Monday) 20 marks Aim This assignment is intended to provide basic experience in conducting image analytics experiments with R (or other languages preferred by students). After having completed this assignment you should know how
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MLP 2018/19: Coursework 1 Due: 26 October 2018 Machine Learning Practical 2018/19: Coursework 1 Released: Monday 15 October 2018 Submission due: 16:00 Friday 26 October 2018 1 Introduction The aim of this coursework is to explore the RMS-Prop and Adam learning algorithms (discussed in lecture 5) in the context of L2 regularization (discussed in lecture
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COMP6714 18s2 Project Stage 2: Modify a baseline model of hyponymy classification Deadline and Late Penalty The project deadline is 23:59 26 Oct 2018 (Fri). Late penalty is -10% each day for the first three days, and then -20% each day afterwards. Objective As explained in stage 1, in this project you need to build a
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COMP9444 Neural Networks and Deep Learning Session 2, 2018 Project 1 – Basic TensorFlow and Digit Recognition Introduction This and all following assignments will use the Python API for the TensorFlow library. TensorFlow (TF) is an opensource library primarily used to construct, train and evaluate machine learning models. TF allows rapid development and supports automatic