NOTE: commands and UI are deprecated
- Negative Engineering
- What is workflow orchestration?
- Introduction to Prefect 2.0
- First Prefect flow and Basics
# Author: Ygor Rebouças | |
# | |
### The Training Loop | |
# | |
# 0) Imports | |
import tensorflow as tf | |
import numpy as np |
import numpy as np | |
import tensorflow as tf | |
from PIL import Image | |
from tensorflow import keras | |
import coremltools | |
import tfcoreml as tf_converter | |
import tensorflow.keras.backend as K | |
import datetime | |
import os | |
from tensorflow.python.framework import graph_io |
// | |
// RecordAudio.swift | |
// | |
// This is a Swift class (updated for Swift 5) | |
// that uses the iOS RemoteIO Audio Unit | |
// to record audio input samples, | |
// (should be instantiated as a singleton object.) | |
// | |
// Created by Ronald Nicholson on 10/21/16. | |
// Copyright © 2017,2019 HotPaw Productions. All rights reserved. |
import numpy as np | |
import matplotlib.pyplot as plt | |
import tensorflow as tf | |
import tensorflow.keras.layers as layers | |
import tensorflow.keras.losses as loss | |
import tensorflow_datasets.public_api as tfds | |
from sys import argv | |
from random import Random | |
from os import walk |
from collections import defaultdict | |
from keras.callbacks import Callback | |
class WRWDScheduler(Callback): | |
"""Warm restart scheduler for optimizers with decoupled weight decay | |
This Keras callback should be used with TensorFlow optimizers | |
with decoupled weight decay, such as tf.contrib.opt.AdamWOptimizer | |
or tf.contrib.opt.MomentumWOptimizer. Warm restarts include | |
cosine annealing with periodic restarts for both learning rate |
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