హైకోర్టు కన్నా EC ఎక్కువా? ఆగ్రహించిన సిజె ఠాగూర్ | Telakapalli Analysis:Ap High Court On EC
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- เผยแพร่เมื่อ 10 พ.ค. 2024
- హైకోర్టు కన్నా EC ఎక్కువా? ఆగ్రహించిన సిజె ఠాగూర్ | Telakapalli Analysis:Ap High Court On EC
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మరి 59 నెలలుగా ఇచ్చినపుడు , వచ్చిన అనుకూలత ఈ రెండు నెలలు ఇవ్వకుండా ఆపితే పోతుందా? వచ్చే నాలుగు ఓట్లు పోగొట్టు కుంటుంది కూటమి
ఎంత చక్కగా విశ్లేషించారు రవిగారూ
🎉🎉🎉
😊
బయట నిమ్మగడ్డ రమేష్ కుమార్ సూపర్ ఛీఫ్ ఎలక్షణ్ కమీషనర్ సూపర్ సుప్రిం
సీ జే గా వ్యవహరిస్తున్న చంద్రబాబు
ని గమనించాలి
కామెంట్స్ చేస్తే ఉపయోగ ఏముంది డామేజ్ జరిగిపోయాక..తక్షణం చర్య తీసుకుంటే కోర్ట్ విలువ చాల పెరిగేది
correct gaa cheppaaru sir
వాలంటరీ సిస్టం పక్కనబెట్టి ఓల్డ్ ఏజ్ పెన్షన్స్ బ్యాంకుల ఖాతాలలో వేసి ఏమన్నారు ముసలి వాళ్లు కనీసం 35 మంది చనిపోయారు వీళ్ళ సావుకి బాధ్యతలు ఎవరు, దీని బ్యాంకు కి వెళ్లి చూశాను వాళ్ల బాధలు వర్ణానాతీతం, ఎవరు లబ్ధి కోసం ఈసీ గారు ఈ విధంగా నిర్ణయం తీసుకున్నారు, ఈ చర్చ కూడా కోర్టులో రావాలి,
లోడ్ ఎత్తే వారు ఇంకా విశ్రాంతి తీసుకో లేదా🤭🤔🤫
High Court Ec py charyalu theesu kovaali.
బాగా చెప్పారు సార్
EC feels that it has more powers than Judiciary There are over acting
Pm is with CEC sir
Dabbu evvakunda cheyyadam valana YCP ke manchi jaruguthundi 👍👍💯🙏🏻
EC is under the influence of NDA
Janam lo bad avutam ani alochana ledu...oka vela win ayite urgent ga dhobbi thinadani ki treasury dabbu full ga undali kada,,,kabatti kootami vallu ippati nunche pathakalu nilipi vestunaru.
🎉🎉🎉🎉🎉🎉
HIGH COURT VAARU EC NI YEMI CHEYYALERU . CHAALA POWER BACK GROUND VUNNA EC .
మోడీ గానీ ఆరాచక అహంకార షాకానీకి ఈ ఎన్నికలు ముగింపు పలకబోతున్నారు. కేంద్రంలో బీజేపీ పోతుంది, గుజరాత్ మోసగాళ్లు శాశ్వతంగా అంతరించి పోతున్నారు.
I really wish.. Modi should lose this election.. but evms and all systems are in their hands
హాటవు మోడీ,& టిడిపి భచవ్ ఆంధ్రప్రదేశ్
Chainer has four extension libraries, ChainerMN, ChainerRL, ChainerCV and ChainerUI. ChainerMN enables Chainer to be used on multiple GPUs with performance significantly faster than other deep learning frameworks.[1] A supercomputer running Chainer on 1024 GPUs processed 90 epochs of ImageNet dataset on ResNet-50 network in 15 minutes, which is four times faster than the previous record held by Facebook.[16][17] ChainerRL adds state of art deep reinforcement learning algorithms, and ChainerUI is a management and visualization tool.
Chainer is used as the framework for PaintsChainer, a service which does automatic colorization of black and white, line only, draft drawings with minimal user input.[18][19]
Chainer has four extension libraries, ChainerMN, ChainerRL, ChainerCV and ChainerUI. ChainerMN enables Chainer to be used on multiple GPUs with performance significantly faster than other deep learning frameworks.[1] A supercomputer running Chainer on 1024 GPUs processed 90 epochs of ImageNet dataset on ResNet-50 network in 15 minutes, which is four times faster than the previous record held by Facebook.[16][17] ChainerRL adds state of art deep reinforcement learning algorithms, and ChainerUI is a management and visualization tool.
Ika mundu E.C.ga supreme court Rtd judge ni niyaminchali.E.C.oka Rtd I.A.S ayyondi I.A.S..I.P.S.adhikarlanu transfer cheyadam suspend cheyadam thappu.
EC should go unbiased way. Anyhow, Jagan is going to form the government in AP second time in the month of June
Please don't criticize in a rude manner
EC YEMI VAALLA NIRNAYAALU MARCHUKODU . ANTHE.
ADI ENNIKALA SANGHMA
LEKA
BJP SELECT COMMITTE NA ANE ANUMANAM PRAJALAKU VASTHUNDI. EDI PRAJASWAMYANIKI MANCHIDI KADU. EC IMPARTIAL GA VUNDATAME KADU VUNNATLU KUDA PROVE CHESUKOVALI.
DESANIKI PRAJALAKU MANCHI JARAGALI.
Contempt of court వెయ్యరాడు నువ్వు
Chainer is notable for its early adoption of "define-by-run" scheme, as well as its performance on large scale systems.[1] The first version was released in June 2015 and has gained large popularity in Japan since then.[1][2] Furthermore, in 2017, it was listed by KDnuggets in top 10 open source machine learning Python projects.[8]
Chainer was the first deep learning framework to introduce the define-by-run approach.[10][11] The traditional procedure to train a network was in two phases: define the fixed connections between mathematical operations (such as matrix multiplication and nonlinear activations) in the network, and then run the actual training calculation. This is called the define-and-run or static-graph approach. Theano and TensorFlow are among the notable frameworks that took this approach. In contrast, in the define-by-run or dynamic-graph approach, the connection in a network is not determined when the training is started. The network is determined during the training as the actual calculation is performed.
Eigen is a vector mathematics library with performance comparable with Intel's Math Kernel Library
Define-by-run has gained popularity since the introduction by Chainer and is now implemented in many other frameworks, including PyTorch[15] and TensorFlow.[12]
Trilinos is an effort to develop algorithms and enabling technologies for the solution of large-scale, complex multi-physics engineering and scientific problems. It is a collection of packages.
అబ్బ ఎంత knowledge raa నీకు
Neeku nachhithey choodu leka pothey guvva muskoni koorcho
Sir super andi
EC ki 500cr ichhadu CBN. I will proove it.