HengJayWang

import SwiftUI
import Foundation

struct ContentView: View {
	// 1.
	private var startPoint1 = CGPoint(x: 207, y: 359)
    @State private var currentPosition1: CGSize = .zero
    @State private var newPosition1: CGSize = .zero
	@State private var isDragging1 = false

HengJayWang

name: tf2
channels:
  - defaults
dependencies:
  - attrs=19.1.0=py36_1
  - backcall=0.1.0=py36_0
  - blas=1.0=mkl
  - bleach=3.1.0=py36_0
  - ca-certificates=2019.8.28=0
  - certifi=2019.9.11=py36_0

HengJayWang

name: tf2
channels:
  - defaults
dependencies:
  - attrs=19.1.0=py36_1
  - backcall=0.1.0=py36_0
  - blas=1.0=mkl
  - bleach=3.1.0=py36_0
  - ca-certificates=2019.8.28=0
  - certifi=2019.9.11=py36_0

HengJayWang

name: tf2
channels:
  - defaults
dependencies:
  - attrs=19.1.0=py36_1
  - backcall=0.1.0=py36_0
  - blas=1.0=mkl
  - bleach=3.1.0=py36_0
  - ca-certificates=2019.8.28=0
  - certifi=2019.9.11=py36_0

HengJayWang

import tensorflow as tf
from tensorflow.signal import stft

# Waveform placeholder
waveform = tf.placeholder(name="waveform", dtype=tf.float32, shape=(4000))

# Compute the spectrogram and get the asolute values
stfts = stft(waveform, frame_length=256, frame_step=64, fft_length=256)
spectrograms = tf.abs(stfts)   

HengJayWang

package com.bdl.itri.filebrowserexample.filebrowserexample;

import android.Manifest;
import android.content.Intent;
import android.content.pm.PackageManager;
import android.net.Uri;
import android.os.Build;
import android.os.Bundle;
import android.support.v7.app.AppCompatActivity;
import android.text.method.ScrollingMovementMethod;

HengJayWang

from keras import applications
from keras.preprocessing.image import ImageDataGenerator
from keras import optimizers
from keras.models import Sequential, Model 
from keras.layers import Dropout, Flatten, Dense, GlobalAveragePooling2D
from keras import backend as k 
from keras.callbacks import ModelCheckpoint, LearningRateScheduler, TensorBoard, EarlyStopping

img_width, img_height = 256, 256
train_data_dir = "data/train"