ricerca dei libri
libri
Donare
Entrare
Entrare
gli utenti autorizzati hanno accesso a:
raccomandazioni personali
Telegram bot
cronologia dei download
inviare a email o Kindle
gestione delle raccolte
salvare nei preferiti
Personale
Richieste di libro
Studia
Z-Recommend
Elenco libri
Più popolari
Categorie
Partecipazione
Donare
Caricamenti
Litera Library
Dona i libri cartacei
Aggiungi i libri cartacei
Search paper books
Mio LITERA Point
Ricerca termini
Main
Ricerca termini
search
1
PLAsTiCC-2018
iBooker it-ebooks
Kaggle Kernel
batch
avg
epoch
val_loss
step
val_acc
acc
accuracy
olivier
pytorch
criterion
distmod
np.where
import
multi_logloss
validation
wloss
valid_1
111us
object_id
categorical_accuracy
saving
val_categorical_accuracy
decreased
hostgal_photoz
detected_mjd_diff
21s
flux
features
112us
np.minimum
input
false
passband
target
hostgal_photoz_err
110us
estimator
axis
detected_flux_min
seq
flux_err_min
shape
valid
flux_err
arr
ddf
array
feature
values
Anno:
2018
Lingua:
english
File:
EPUB, 1.02 MB
I tuoi tag:
0
/
0
english, 2018
2
Kaggle Kernel - quickdraw-doodle-recognition - Page6
iBooker it-ebooks
it-ebooks
matplotlib.lines.line2d
import
epoch
val_loss
input
step
range
model.add
conv2d
top_3_accuracy
stroke
valid
categorical_crossentropy
categorical_accuracy
activation
drawing
val_top_3_accuracy
accuracy
imshow
integers
clipping
floats
relu
num_classes
val_categorical_accuracy
dropout
validation
val_categorical_crossentropy
axs
batch_size
img
network
dense
params
false
verbose
acc
align
val_acc
raw_strokes
enumerate
key_id
pd.read_csv
layer
predicted
base_size
maxpooling2d
epochs
axis
cv2
Lingua:
english
File:
EPUB, 993 KB
I tuoi tag:
0
/
0
english
3
Kaggle Kernel - quickdraw-doodle-recognition - Page7
iBooker it-ebooks
it-ebooks
epoch
val_loss
step
import
categorical_crossentropy
top_3_accuracy
categorical_accuracy
val_top_3_accuracy
acc
val_acc
drawing
accuracy
val_categorical_accuracy
val_categorical_crossentropy
currently
saving
hdf5
69s
model.add
conv1d
relu
stroke
input
shape
conv2d
range
activation
test_arr
img
weights.best.model.cv001
axs
cv2
key_id
pd.read_csv
figsize
labels
dropout
plt.subplots
raw_strokes
batchnormaliza
false
dense
nrows
train_simplified
enumerate
padding
verbose
doodle
values
batch_size
Lingua:
chinese
File:
EPUB, 891 KB
I tuoi tag:
0
/
0
chinese
4
Kaggle Kernel - rsna-pneumonia-detection-challenge - Page9
iBooker it-ebooks
it-ebooks
patientid
processing
png
import
pneumonia
conv2d
input
val_loss
epoch
batchnorm
pneumothorax
rsna
conv
bflops
path
step
ax1
batch_size
filename
false
height
detection
os.path.join
width
leakyrelu
y_pred
patient
y_true
lung
weights
row
opacity
challenge
ax2
filenames
categorical_accuracy
dataset
img
iou
boxes
lambda
numpy
val_categorical_accuracy
dicom
figsize
inputs
in_path
params
timedistributed
cmap
Lingua:
chinese
File:
EPUB, 6.06 MB
I tuoi tag:
0
/
0
chinese
1
Segui
questo link
o cerca il bot "@BotFather" in Telegram
2
Invia il comando /newbot
3
Inserisci un nome del tuo bot
4
Inserisci un nome utente del bot
5
Copia l'ultimo messaggio da BotFather e incollalo qui
×
×