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
Machine Learning Algorithms From Scratch: With Phython
Independently Published
Jason Brownlee
dataset
row
algorithm
tutorial
function
range
column
output
split
error
predictions
listing
values
calculate
regression
prediction
network
weights
node
predicted
accuracy
actual
classification
random
float
coefficients
neuron
distance
epoch
scores
input
expected
implement
evaluate
filename
rows
algorithms
contrived
import
layer
linear
csv
neighbors
yhat
n_folds
folds
predict
trees
l_rate
validation
Anno:
2018
Lingua:
english
File:
PDF, 1.10 MB
I tuoi tag:
0
/
0
english, 2018
2
Machine Learning Algorithms From Scratch: With Python
Machine Learning Mastery
Jason Brownlee
dataset
row
algorithm
tutorial
function
range
column
output
split
error
predictions
listing
values
calculate
regression
prediction
network
weights
node
predicted
accuracy
actual
classification
random
float
coefficients
neuron
distance
epoch
scores
input
expected
implement
evaluate
filename
rows
algorithms
contrived
import
layer
linear
csv
neighbors
yhat
n_folds
folds
predict
trees
l_rate
validation
Anno:
2018
Lingua:
english
File:
PDF, 1.10 MB
I tuoi tag:
0
/
5.0
english, 2018
3
Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence. Code
Packt Publishing
Dmitrijs Cudihins
img
batch_size
sample
jpg
handsoncomputervisionwithjulia_code
idx
imshow
nnet
joinpath
mx.zeros
mx.arraydataprovider
train_data_provider
mx.fullyconnected
num_hidden
img2
map
float16
mx.variable
reshape
channelview
idx:idx
img_f
train_x
new_img
act_type
mx.activation
mx_data_train
relu
validation_data_provider
imageview
arch
cats
train_length
img_channel_view
3061372_640
project_img_folder
imresize
img_width
mx.feedforward
validation_length
eval_data
img1
mx.adam
mx.fit
n_epoch
weights
mx_data
train_label_array
validation_label_array
context
Anno:
2018
Lingua:
english
File:
ZIP, 1.54 MB
I tuoi tag:
0
/
0
english, 2018
4
PyTorch Zero To All
iBooker it-ebooks
it-ebooks
import
input
output
hidden_size
target
epoch
batch_size
rnn
batch
dataset
__init__
input_size
y_pred
range
criterion
inputs
encoder_hidden
str2tensor
train_loader
torch
optimizer
seq_lengths
seq_tensor
n_layers
nn.linear
torch.autograd
y_data
predicted
torch.longtensor
vectorized_seqs
x_data
correct
decoder
torch.tensor
false
loss.backward
loss.data
num_layers
batch_first
dataloader
function
labels
pytorch
torch.nn
countries
model.parameters
optimizer.step
shuffle
batch_idx
enumerate
Anno:
2018
Lingua:
english
File:
EPUB, 93 KB
I tuoi tag:
0
/
0
english, 2018
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
×
×