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Search Results - Showing 24 - 36 Of 38
_shrouds-have-no-pockets-trailer.webp "2021nDuration 29:40nnN.N. is on a holiday. He’s enjoyinga complimentary stay at a premium hotel accompanied by a curated menu of equally complimentary experiences. In return, N.N. is asked to take a daily trip with the iGum – a proprietary, smartphone operated device, capable of accessing, altering and recording the consciousness of its user through dental nerve access. nnShrouds Have no Pockets is a post-cinematic sequel of Chris Markers La Jetée. Combining 3d-animation and filmed POV-fo")
_mampm39s-stuck-in-nose-shorts.webp "Mandeep Thakur Official")
_simple-explanation-of-convolutional-neural-network-124-deep-learning-tutorial-23-tensorflow-amp-python.webp "codebasics")
Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)
⏲ 23 minutes 54 seconds 👁 443.7K
_the-39images39-that-10-neurons-in-a-simple-neural-network-use-to-predict-the-probability-of-a-digit.webp "The network has just one linear layer (nn.Linear(64,10) layer))! It is training on the Scikit-Learn Digits dataset. Each frame shows what the 'image' per neuron looks lik after one epoch of training the model.")
⏲ 21 sec ✓ 10-May-2021
_all-convolution-animations-are-wrong-neural-networks.webp "Animated AI")
_nhy-theo-iu-nhy-ca-cc-ch-mo-no-cc-bn-i.webp "Thai Le")
_do-you-love-me-nick-cave-remix-slowsinn-images.webp "Nick Cave DO YOU LOVE ME Remix & SLowSiNN IMAGESA dark image.")
_reverse-image-search-engine-in-python.webp "Problem statement:nA reverse image search engine based on the fundamental Deep Learning algorithm, viz., K-NN algorithm(K-Nearest Neighbours). nnnExploratory Data Analysis (EDA) and Data preparation:nAs for data collection, we used a publicly available dataset sourced from kaggle which contains ~4700 images to train our model and used the scikit.learn library to extract and process features out of the query(the image uploaded by the user) image.nnnModel Training and Evaluation:nPost data collect")
_computer-aided-detection-of-ischemic-stroke-using-segmentation-and-texture-features-myprojectbazaar.webp "Computed tomography images are widely used in the diagnosis of ischemic stroke because of its faster acquisition and compatibility with most life suppor t devices. This paper presents a new approach to automated detection of ischemic stroke using segmentation, midline shift and image feature characteristics, which separate the ischemic stroke region from healthy tissues in computed tomography images. The proposed method consists of five stages namely, pre-processing, segmentation, tracing midli")
⏲ 4 min 0 sec ✓ 21-Jun-2019
![The NEO 163348 (2002 NN4)nAten [NEO, PHA] nFromnSiding Spring Observatory Australia - MPC Q62nonn2020-06-04nBy nnSteven M. TilleynnThe asteroid 163348 (2002 NN4) has been in the news recently. It passed](https://cdn6.hifimov.co/picture/preview/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol85ZQDlBQLkBGHgLmNlMQuuAQWwMwV_MwN3ZzIzMJWyZmHlMwAzMwxlAmLkZ_IxAzSvLmL0MGH5ZQZ_BGSwBTR3BQDmMzR0BQOwBF1xKmVjZUtkAGNcXltbFTyTnH1iqv5wolysBGN0Zwt_ZGx1YJZjZzD-LGDlL_LlAzLjAmWyMzIvMGZ1ZzLmMzL5Zwp_ZGAyMQMuLzZ_ATH1BGNmAwxkLmuuAmt0Z_MuAQtjLmxgMP0lZQO-ZGHj/(HiFiMov.co)_the-neo-163348-2002-nn4-from-siding-spring-observatory-australia-mpc-q62-on-2020-06-04-by-steven-m-tilley.webp "The NEO 163348 (2002 NN4)nAten [NEO, PHA] nFromnSiding Spring Observatory Australia - MPC Q62nonn2020-06-04nBy nnSteven M. TilleynnThe asteroid 163348 (2002 NN4) has been in the news recently. It passed")
⏲ 62 sec ✓ 05-Jun-2020
_nn1045-blended.webp "The Night Navigator™ 1045 is a compact marinized Night Vision camera system, integrating both an infrared sensor and a night vision sensor, able to blend both images into one,")
_dominoes-not-pizza.webp "Do you notice the rapid unraveling of the culture all around you, feel uneasy about it, but can’t quite put your finger on what’s happening? Do the disturbing events and images marching across your television and computer screens seem somehow related, but you just can’t quite figure out how? nnKnowledge is power, so imagine how understanding how these things are connected might help us deal with them, even give us power over them, to protect us in the “valley of the shadow of death.” (")
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