Deep Neural Network Prediction

Step 1. Genernate random parameters and Run them sequentially : $ python3 collect_data.py -gp -ep -pp -pl pooling -num 10 -shuffle -d 1080ti

Step 2. Data Timeline parser : $ python3 preprocess_data.py -pt -pl pooling -d 1080ti

Step 3. Combine all raw data : $ python3 preprocess_data.py -c -pl pooling -d 1080ti

Step 4. Split raw data to train and test data as performance prediction inputs $ python3 preprocess_data.py -sp -pl pooling -d 1080ti

Step 5. Train Model :

python3 train_model.py -ftf ./utils/Feature_Target/conv_pre.json -log2file 1 -e 1000 -st 400 -sg 0.5 -lf maple -n perfnetA -pd 1080ti -pl convolution -psl pre
    
python3 train_model.py -ftf ./utils/Feature_Target/conv_exe.json -log2file 1 -e 1000 -st 400 -sg 0.5 -lf maple -n perfnetA -pd 1080ti -pl convolution -psl exe
        
python3 train_model.py -ftf ./utils/Feature_Target/conv_post.json -log2file 1 -e 1000 -st 400 -sg 0.5 -lf maple -n perfnetA -pd 1080ti -pl convolution -psl post

Step 6. Generate model csv file :

python3 verify_model.py -gmc --model lenet -b 1

Step 7. Predict model csv file :

python3 verify_model.py -pdm -n perfnetA -d 1080ti -l -eva -lf maple --model lenet -b 1

Or you can use script to predict all models with all batches:

python3 predict_script.py -n perfnetA -d 1080ti -lf maple

Predict the latency time of the deep learning models

Related tags

Overview

Deep Neural Network Prediction

Owner

QAQ

a dnn ai project to classify which food people are eating on audio recordings

ICLR 2021: Pre-Training for Context Representation in Conversational Semantic Parsing

The audio-video synchronization of MKV Container Format is exploited to achieve data hiding

Python scripts for performing stereo depth estimation using the HITNET Tensorflow model.

Official implementation of "Motif-based Graph Self-Supervised Learning forMolecular Property Prediction"

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

Churn-Prediction-Project - In this project, a churn prediction model is developed for a private bank as a term project for Data Mining class.

Facestar dataset. High quality audio-visual recordings of human conversational speech.

Rotation Robust Descriptors

A diff tool for language models

DexterRedTool - Dexter's Red Team Tool that creates cronjob/task scheduler to consistently creates users

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

Public Models considered for emotion estimation from EEG

Concept drift monitoring for HA model servers.

Fast, accurate and reliable software for algebraic CT reconstruction

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.

A code implementation of AC-GC: Activation Compression with Guaranteed Convergence, in NeurIPS 2021.

An interactive DNN Model deployed on web that predicts the chance of heart failure for a patient with an accuracy of 98%

[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning