Chimwe chezvishandiso zvinonyanya kuzivikanwa zvekugadzira michina yekudzidza modhi ndeye TensorFlow. Isu tinoshandisa TensorFlow mune akawanda maapplication mumaindasitiri akasiyana.
Mune ino positi, isu tichaongorora mamwe eTensorFlow AI modhi. Saka, tinogona kugadzira masisitimu akangwara.
Isu tichapfuurawo kuburikidza nemaitiro ayo TensorFlow anopa ekugadzira maAI modhi. Saka ngatitangei!
Sumo Pfupi yeTensorFlow
Google's TensorFlow ndeye yakavhurika sosi machine learning software package. Inosanganisira maturusi ekudzidzisa uye kutumira michina yekudzidza mamodheru pamapuratifomu akawanda. nemidziyo, pamwe nerutsigiro rwekudzidza kwakadzama uye neural networks.
TensorFlow inogonesa vanogadzira kugadzira mamodheru emhando dzakasiyana dzekushandisa. Izvi zvinosanganisira kucherechedzwa kwemifananidzo uye odhiyo, kugadzirisa mutauro chaiwo, uye computer vision. Icho chishandiso chakasimba uye chinochinjika chine rutsigiro rwakapararira munharaunda.
Kuisa TensorFlow pakombuta yako unogona kunyora izvi muhwindo rako rekuraira:
pip install tensorflow
MaAI Models Anoshanda Sei?
AI modhi masystem emakombuta. Naizvozvo, ivo vanoitirwa kuita zviitwa zvingada njere dzevanhu. Kuzivikanwa kwemifananidzo uye kutaura uye kuita sarudzo mienzaniso yemabasa akadaro. AI modhi inogadzirwa pane makuru madataset.
Ivo vanoshandisa michina yekudzidza matekiniki kugadzira fungidziro uye kuita zviito. Vane mashandisiro akati wandei, anosanganisira mota dzinozvityaira, vabatsiri vemunhu, uye kuongororwa kwekurapa.
Saka, ndedzipi dzakakurumbira TensorFlow AI modhi?
ResNet
ResNet, kana Residual Network, inzira yekushandura neural network. Isu tinoshandisa iyo yemifananidzo categorization uye kuona kwechinhu. Yakagadzirwa nevatsvakurudzi veMicrosoft muna 2015. Uyewo, inonyanya kusiyaniswa nekushandiswa kwezvibatanidza zvakasara.
Aya ma connections anobvumira network kuti idzidze zvinobudirira. Nokudaro, zvinogoneka nekuita kuti ruzivo rufambe zvakasununguka pakati pezvikamu.
ResNet inogona kuitwa muTensorFlow nekushandisa Keras API. Inopa yakakwirira-yepamusoro, mushandisi-inoshamwaridzika interface yekugadzira uye kudzidzisa neural network.
Kuisa ResNet
Mushure mekuisa TensorFlow, unogona kushandisa Keras API kugadzira ResNet modhi. TensorFlow inosanganisira iyo Keras API, saka haufanire kuiisa wega.
Unogona kupinza iyo ResNet modhi kubva tensorflow.keras.applications. Uye, unogona kusarudza iyo ResNet vhezheni yekushandisa, semuenzaniso:
from tensorflow.keras.applications import ResNet50
Iwe unogona zvakare kushandisa iyo inotevera kodhi kurodha pre-yakadzidziswa uremu yeResNet:
model = ResNet50(weights='imagenet')
Nekusarudza chivako include_top=Nhema, unogona kushandisa modhi iyi pakuwedzera kudzidziswa kana kugadzirisa dhatabheti yako.
model = ResNet50(weights='imagenet', include_top=False, input_shape=(224, 224, 3))
Nzvimbo dzeResNet dzeKushandisa
ResNet inogona kushandiswa muchikamu chemifananidzo. Saka, iwe unogona kuisa mafoto mumapoka mazhinji. Kutanga, iwe unofanirwa kudzidzisa ResNet modhi pane yakakura dataset yemifananidzo yakanyorwa. Zvadaro, ResNet inogona kufanotaura kirasi yemifananidzo isati yamboonekwa.
ResNet inogona zvakare kushandiswa kumabasa ekuona zvinhu sekuona zvinhu mumifananidzo. Tinogona kuita izvi nekutanga kudzidzisa ResNet modhi pane muunganidzwa wemifananidzo yakanyorwa nemabhokisi anosungirirwa zvinhu. Zvadaro, tinogona kushandisa muenzaniso wakadzidza kuziva zvinhu mumifananidzo mitsva.
Isu tinogona zvakare kushandisa ResNet kune semantic segmentation mabasa. Saka, isu tinogona kugovera semantic label kune yega pixel mumufananidzo.
Inception
Kutanga imhando yekudzidza yakadzama inokwanisa kuziva zvinhu mumifananidzo. Google yakazvizivisa muna 2014, uye inoongorora mifananidzo yehukuru hwakasiyana ichishandisa akawanda akaturikidzana. NeKutanga, modhi yako inogona kunzwisisa mufananidzo nenzira kwayo.
TensorFlow chishandiso chakasimba chekugadzira nekumhanyisa maInception modhi. Inopa yakakwirira-yepamusoro uye mushandisi-inoshamwaridzika interface yekudzidzisa neural network. Nekudaro, Inception imhando yakatwasuka yekunyorera kune vanogadzira.
Installing Inception
Unogona kuisa Inception nekunyora iyi mutsara wekodhi.
from tensorflow.keras.applications import InceptionV3
Nzvimbo dzeKutanga dzeKushandisa
Iyo Inception modhi inogona zvakare kushandiswa kuburitsa maficha mukati kudzidza zvakadzika mhando dzakadai seGenerative Adversarial Networks (GANs) uye Autoencoders.
Iyo Inception modhi inogona kuve yakanyatso kurongeka kuti uone hunhu chaihwo. Zvakare, isu tinogona kukwanisa kuongorora kumwe kusagadzikana mune zvekurapa zvekufungidzira zvikumbiro zvakaita seX-ray, CT, kana MRI.
Iyo Inception modhi inogona kuve yakanyatso kurongedzwa kuti itarise mhando yemufananidzo. Isu tinokwanisa kuongorora kuti chifananidzo chine fuzzy here kana kuti chakashata.
Kutanga kunogona kushandiswa kumabasa ekuongorora mavhidhiyo akadai sekutevera chinhu uye kuona chiitiko.
BATA
BERT (Bidirectional Encoder Representations kubva kuTransformers) iGoogle-yakagadziridzwa pre-yakadzidziswa neural network modhi. Tinogona kuishandisa kune akasiyana siyana echisikigo ekugadzirisa mutauro. Aya mabasa anogona kusiyana kubva pakurongwa kwemavara kusvika pakupindura mibvunzo.
BERT yakavakirwa pane transformer architecture. Nekudaro, iwe unokwanisa kubata akawanda mavhoriyamu ekuisa mameseji uku uchinzwisisa kubatana kwemazwi.
BERT imodhi yakadzidziswa yaunogona kubatanidza muTensorFlow application.
TensorFlow inosanganisira pre-yakadzidziswa BERT modhi pamwe nemuunganidzwa wezvishandiso zvekugadzirisa zvakanaka uye kushandisa BERT kune akasiyana mabasa. Nekudaro, iwe unogona nyore kubatanidza BERT yakaomesesa echisikigo mutauro kugadzirisa kugona.
Kuisa BERT
Uchishandisa pip package maneja, unogona kuisa BERT muTensorFlow:
pip install tensorflow-gpu==2.2.0 # This installs TensorFlow with GPU support
pip install transformers==3.0.0 # This installs the transformers library, which includes BERT
TensorFlow's CPU vhezheni inogona kuiswa nyore nyore nekutsiva tensorflow-gpu ine tensorflow.
Mushure mekuisa raibhurari, unogona kuunza iyo BERT modhi uye kuishandisa kune akasiyana NLP mabasa. Heino imwe yemuenzaniso kodhi yekunyatso-tuta modhi yeBERT pane dambudziko rekuisa zvinyorwa, semuenzaniso:
from transformers import BertForSequenceClassification
# Load the pre-trained BERT model
model = BertForSequenceClassification.from_pretrained("bert-base-uncased")
# Fine-tune the model on your text classification task
model.fit(training_data, labels)
# Make predictions on new data
predictions = model.predict(test_data)
Nzvimbo dzeBERT dzeKushandisa
Iwe unogona kuita mabasa ekuisa zvinyorwa. Somuenzaniso, zvinokwanisika kubudirira manzwiro ongororo, kupatsanura misoro, uye kuona spam.
BERT ine a Inotumidzwa Bhizinesi Kuzivikanwa (NER) chimiro. Nekudaro, iwe unogona kuziva uye kuisa mazita muzvinyorwa zvakaita sevanhu nemasangano.
Inogona kushandiswa kupindura mibvunzo zvichienderana neimwe mamiriro, senge muinjini yekutsvaga kana chatbot application.
BERT inogona kubatsira kuShanduro yeMutauro kuti iwedzere kurongeka kweshanduro yemuchina.
BERT inogona kushandiswa kupfupisa zvinyorwa. Nokudaro, inogona kupa pfupiso, pfupiso inobatsira yemagwaro marefu.
DeepVoice
Baidu Tsvagiridzo yakagadzira DeepVoice, a mameseji-kune-kutaura synthesis muenzaniso.
Yakagadzirwa iine TensorFlow chimiro uye yakadzidziswa pane yakakura muunganidzwa wezwi data.
DeepVoice inogadzira izwi kubva pakuiswa kwemavara. DeepVoice inoita kuti zvikwanise kuburikidza nekushandisa zvakadzama maitiro ekudzidza. Iyo ndeye neural network-yakavakirwa modhi.
Nekudaro, inoongorora data rekuisa uye inogadzira kutaura ichishandisa nhamba huru yematanho emanodhi akabatana.
Kuisa DeepVoice
!pip install deepvoice
Zvimwe;
# Clone the DeepVoice repository
!git clone https://github.com/r9y9/DeepVoice3_pytorch.git
%cd DeepVoice3_pytorch
!pip install -r requirements.txt
DeepVoice's Ares of Usage
Unogona kushandisa DeepVoice kugadzira kutaura kwevabatsiri vega seAmazon Alexa uye Google Assistant.
Zvakare, DeepVoice inogona kushandiswa kugadzira kutaura kwezvishandiso zvinogonesa izwi senge vatauri vakangwara uye ma automation masisitimu epamba.
DeepVoice inogona kugadzira izwi rekutaura kurapa maapplication. Inogona kubatsira varwere vane matambudziko ekutaura kuti vavandudze kutaura kwavo.
DeepVoice inogona kushandiswa kugadzira kutaura kwezvinyorwa zvekudzidzisa senge audiobooks uye mitauro yekudzidza.
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