Wednesday, September 25, 2019

Keras Squential Model

# example of training a final classification model
import matplotlib.pyplot as plt

from keras.models import Sequential
from keras.layers import Dense
import numpy as np
X=np.array([[0,0],[0,1],[1,0],[1,1]])
T=np.array([[0],[1],[1],[0]])
# define and fit the final model





model = Sequential()
model.add(Dense(1000, input_dim=2, activation='relu'))
model.add(Dense(1, activation='sigmoid'))

model.compile(loss='binary_crossentropy', optimizer='adam')
model.fit(X, T, epochs=2000)
model.save_weights("model.h5")

history =model.history
plt.plot(history.history['loss'])
plt.title('model loss')
plt.ylabel('loss')
plt.xlabel('epoch')
plt.legend(['train', 'test'], loc='upper left')
plt.show()

Xp=np.array([[1,1]])
model.predict(Xp)


Tuesday, September 03, 2019

Materi Kuliah Pemodelan 3D

Download Materi Di SINI

Sunday, September 01, 2019

PCD VB6 Point Opration

program bisa didownload di sini

Visi Komputer

Bahan Kuliah Download di sini

Tugas Pemprosesan Citra dan Video


Daftar tugas Pemprosesan Citra dan Video
  1. Deteksi Jalur Jalan
  2. Game Main bola
  3. Segmentasi Citra Berbasis Textur
  4. Deteksi Rambu lalu Lintas
  5. Deteksi Gerakan
  6. Deteksi Mobil Parkir
  7. Deteksi Jenis Uang
  8. Line Detection
  9. Deteksi Buah Apel Matang
  10. Deteksi Warna lampu lalu lintas