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{
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      "amount": "0.003 STEEM",
      "from": "crypto.piotr",
      "memo": "Regarding the latest information and development of Steemauto. Old SteemAuto is already being switched off. Today, I would like to introduce you to new version of SteemAuto launched by one of most reputable witness. You can find it here: https://worldofxpilar.com/dash.php . I've helped testing it and it's WORKING GREAT so far (In case if you would have any questions, consider joining their discord channel: https://discord.com/invite/VAHHsmnNaJ )",
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{
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      "author": "skillplus",
      "body": "@@ -68,8 +68,124 @@\n he post.\n+  I think it didn't standout, I move it next to the image.%0A%0AThanks for reminder. Hope my post didn't break any rule.\n",
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      "parent_author": "neerajkr03",
      "parent_permlink": "quc84f",
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{
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      "body": "@@ -470,16 +470,61 @@\n o.jpg)%0A%0A\n+_image courtesy of https://news.bitcoin.com_%0A\n %0ABerikut\n@@ -1336,42 +1336,4 @@\n ana?\n-%0A%0A_image courtesy of news.bitcoin.com_\n",
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      "title": "HODL Cardano, Apakah Prospektif?"
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      "author": "skillplus",
      "body": "Hello, @neerajkr03.\n\nYes, I already cite the source at the end of the post.",
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{
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    {
      "author": "neerajkr03",
      "body": "<div class=\"text-justify\">\n\nWelcome to Steem!\n\nSteem blockchain community rewards original content. Would it be possible for you to cite the source of the image?\n\n<hr>\n\nThere are many growing communities here that you may want to join, here is the [latest list](https://steemit.com/hive-133716/@randulakoralage/list-of-steemit-communities-categorized-by-their-subjects-v3) of communities prepared by randulakoralage.\n\nFor general information about what is happening on Steem follow @steemitblog.\n<hr>\n\nHere is a post that explains everything steps by steps that will help you understand more about Steemit ecosystem, wallet security, Newcomers Achievement Program, list of tutorials, how to use tag in your post, how to claim your reward, how to exchange SBD to Steem, and many useful information. [Click here](https://steemit.com/hive-172186/@cryptokannon/notice-board-of-newcomers-community-updated-13-4-2021) to view this post.\n\n<hr>\n\n<div><p>There is a set of achievements prepared by <a href=\"/cryptokannon\">cryptokannon</a> for new comers.</p>\n<ol>\n<li><p>First go to <a href=\"https://steemit.com/trending/hive-172186\">New Comers Community</a></p></li>\n<li><p>Read <a href=\"https://steemit.com/hive-172186/@cryptokannon/achievement-tasks-resources-and-materials-newcomers-retention\">this </a> summary about achievements.</p></li>\n<li><p>First achievement is a self introduction. <a href=\"https://steemit.com/hive-172186/@cryptokannon/achievement-1-mentor-by-cryptokannon-verification-through-introduction\">THESE are  the rules</a> for the post.</p></li>\n<li><p>Likewise, you can do all achievements. You can learn about steemit related things and get rewarded as well.</p></li>\n</ol>\n\nRegards,\n@neerajkr03\n</div>\n\n</div>",
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      "body": "Mengenang kepahitan masa lalu ketika bikin mining farm skala rumah tangga. Ketika bubble pecah, pecah juga kongsi kami dalam mengelola mining farm.\n\nSekarang crypto kembali hangat, tentu saya ingin membalas kekalahan di masa lampau. :)\n\nSetelah browsing-browsing, baca sana baca sini. Saya kepincut dengan Cardano, dan saya merasa cukup prospektif koin yang satu ini.\n\n\n![cardano.jpg](https://cdn.steemitimages.com/DQmcLjvt9nXM7rWAY33biJKjhmogbeB7niz9tuvApVVLv6J/cardano.jpg)\n\n\nBerikut beberapa pertimbangan sederhana saya:\n- Menggunakan **Proof of Stake**, jadi harusnya lebih ramah lingkungan, gak bakal digoyang isu mas ellon.\n- Karena POS juga, maka kemungkinan besar para stacker akan **HODL** keras.\n- Akan segera meluncur **OccamRazer**, DeFi yang berjalan diatas Cardano blockchain, jadi coin ADA akan terus digunakan jika OccamRazer sukses.\n- Last but not least, market capital ADA di urutan kelima global dan urutan kedua untuk POS coin (posisi pada saat artikel ini dibuat)\n\n\nWalaupun, kembali, proses pumping dan issue dari influencer sangat penting. Contoh coin Doge, meledak luar biasa karena ada mas ellon. \n\nTapi jangan salah, coin yang secara teknologi tidak siap untuk berkembang, setelah mengalami masa pump, masa dump tinggal menunggu waktu saja.\n\nSo, menurut kalian gimana?\n\n_image courtesy of news.bitcoin.com_",
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      "body": "Mengenang kepahitan masa lalu ketika bikin mining farm skala rumah tangga. Ketika bubble pecah, pecah juga kongsi kami dalam mengelola mining farm.\n\nSekarang crypto kembali hangat, tentu saya ingin membalas kekalahan di masa lampau. :)\n\nSetelah browsing-browsing, baca sana baca sini. Saya kepincut dengan Cardano, dan saya merasa cukup prospektif koin yang satu ini.\n\n\n![cardano.jpg](https://cdn.steemitimages.com/DQmcLjvt9nXM7rWAY33biJKjhmogbeB7niz9tuvApVVLv6J/cardano.jpg)\n\n\nBerikut beberapa pertimbangan sederhana saya:\n- Menggunakan **Proof of Stake**, jadi harusnya lebih ramah lingkungan, gak bakal digoyang isu mas ellon.\n- Karena POS juga, maka kemungkinan besar para stacker akan **HODL** keras.\n- Akan segera meluncur **OccamRazer**, DeFi yang berjalan diatas Cardano blockchain, jadi coin ADA akan terus digunakan jika OccamRazer sukses.\n- Last but not least, market capital ADA di urutan kelima global dan urutan kedua untuk POS coin (posisi pada saat artikel ini dibuat)\n\n\nWalaupun, kembali, proses pumping dan issue dari influencer sangat penting. Contoh coin Doge, meledak luar biasa karena ada mas ellon. \n\nTapi jangan salah, coin yang secara teknologi tidak siap untuk berkembang, setelah mengalami masa pump, masa dump tinggal menunggu waktu saja.\n\nSo, menurut kalian gimana?\n\n_image courtesy of news.bitcoin.com_",
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      "body": "Mengembangkan model sendiri tidaklah mudah, dibutuhkan dataset yang besar untuk melakukan training dan validasi. Selain itu diperlukan juga computing resource yang besar. \n\nMungkin Anda pernah mendengar tentang imagenet, kompetisi yang diikuti perusahaan teknologi. Perusahaan teknologi tersebut melatih model yang kompleks, dengan dataset yang besar dan dilakukan hingga memakan waktu berminggu-minggu.\n\nKompetisi ini banyak menghasilkan pre-trained model yang dapat digunakan misalnya, inception, mobilenet, VGG16, VGG19 dan banyak lagi.\n\nTentu akan sangat memudahkan jika kita dapat menggunakan model pre-trained hasil kompetisi diatas. Nah, kabar baiknya adalah ya, kita bisa menggunakannya. Ada dua pendekatan, yaitu Transfer Learning dan Fine Tuning.\n\n**Transfer Learning**\nTeknik menggunakan model yang sudah pre-trained adalah Transfer Learning, kita dapat menggunakan pre-trained model untuk melakukan task tertentu, pada tutorial akan dilakukan binary classfication mengenali anjing atau kucing menggunakan mobilenet.\n\n\n![transfer-learning.jpg](https://cdn.steemitimages.com/DQmfNncrZo1GkKq9DaCVcSZL6SoJ6HLBZvPKfpAK9nGc6Su/transfer-learning.jpg)\n\n\nPre-trained model dapat dibagi menjadi dua bagian besar, yaitu base model dan custom head network. Jadi kita tetap menggunakan base model dari mobilenet, lalu mengubah bagian Custom head network agar sesuai dengan kebutuhan klasifikasi yang akan kita lakukan.\n\nBase model akan di-freeze dan tidak dilakukan perubahan.\n\n**Fine Tuning**\nFine tuning lebih cocok untuk dataset yang besar dan ada perbedaan dengan imagenet dataset. Pendekatan yang dilakukan adalah dengan freeze bagian awal dari base model. Bagian lainnya dari model dapat kita ubah sesuai dengan kebutuhan.\n\n\n![fine-tuning.jpg](https://cdn.steemitimages.com/DQmcFxdE9JBBi1yD8ko9uKVaEtCLdzHP6AgH6tZK8vkZ2ra/fine-tuning.jpg)\n\n\n\n**Transfer Learning atau Fine Tuning?**\nBerikut panduan sederhana dalam memilih transfer learning atau fine tuning.\n\n- Jika dataset besar dan berbeda: Training ulang model.\n- Jika dataset besar dan mirip: Fine Tuning\n- Jika dataset kecil dan berbeda: Fine Tuning\n- Jika dataset kecil dan sama: Transfer learning\n\n\nsource: https://skillplus.web.id/transfer-learning-dan-fine-tuning-1/",
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      "steem_payout": "0.000 STEEM",
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      "body": "@@ -147,17 +147,16 @@\n utasi.%0A%0A\n-%0A\n !%5Bcnn-po\n@@ -264,17 +264,16 @@\n g.gif)%0A%0A\n-%0A\n _Gambar-\n@@ -1344,16 +1344,17 @@\n ling.%0A%0A%0A\n+%0A\n !%5Bmax-av\n@@ -1476,17 +1476,16 @@\n g.png)%0A%0A\n-%0A\n *Gambar-\n@@ -1513,16 +1513,141 @@\n oling*%0A%0A\n+Untuk informasi lebih mendalam mengenai pooling, silakan lihat paper di http://ais.uni-bonn.de/papers/icann2010_maxpool.pdf%0A%0A\n Source: \n",
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      "body": "Pooling layer berfungsi untuk mengurangi spatial size dari feature map (convolved feature), dimana akan berefek dalam mengurangi beban proses komputasi.\n\n\n![cnn-poolling.gif](https://cdn.steemitimages.com/DQmTrwLPBVsC11zTaQx1Mn4evG3cvyMHBHZQkeTbsiTCoBc/cnn-poolling.gif)\n\n\n_Gambar-1: Proses Pooling_\n\nPooling layers sangat bermanfaat dalam mengekstrak dominant features, tanpa tergantung dengan posisi feature pada image.\n\nContoh sederhananya, model tetap akan mengenali bahwa sebuah gambar adalah gambar wajah, baik dilihat dari depan, samping, atau terbalik, atau miring. Demikikan juga dengan posisi, model tetap mampu memdeteksi jika posisi wajah ada ditengah, dikiri, kanan atau pojok image.\n\n\n \nDengan Pooling kita dapat mengetahui posisi sebuah objects pada image. Pooling layer juga memberikan fleksibilitas pada convolutional neural network untuk mencegah overfitting.\n\nAda dua macam pooling, Max dan Average Pooling. (lihat gambar-2 untuk lebih jelas).\n\n- **Max Pooling** mengembalikan nilai maximum dari area yang ter-cover oleh Kernel. Selain melakukan dimensional reduction, Max pooling juga melakukan de-noising.\n- **Average Pooling** mengembalikan nilai average (rata-rata), dimana hanya melakukan dimensional reduction sebagai mekanisme noise reduction.\n\nJadi dapat dikatakan performa Max Pooling lebih baik dibanding Average Pooling.\n\n\n![max-average-pooling.png](https://cdn.steemitimages.com/DQmUWXNAzzyFcvhLZ3K3sUibjJzS4j9s1sL1NSNHWBc1LZt/max-average-pooling.png)\n\n\n*Gambar-2: Max dan Avarage Pooling*\n\nSource: https://skillplus.web.id/pengenalan-convolutional-neural-network-cnn/\nImage is courtesy of https://towardsdatascience.com/",
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      "body": "Pooling layer berfungsi untuk mengurangi spatial size dari feature map (convolved feature), dimana akan berefek dalam mengurangi beban proses komputasi.\n\n\n![cnn-poolling.gif](https://cdn.steemitimages.com/DQmTrwLPBVsC11zTaQx1Mn4evG3cvyMHBHZQkeTbsiTCoBc/cnn-poolling.gif)\n\n\n_Gambar-1: Proses Pooling_\n\nPooling layers sangat bermanfaat dalam mengekstrak dominant features, tanpa tergantung dengan posisi feature pada image.\n\nContoh sederhananya, model tetap akan mengenali bahwa sebuah gambar adalah gambar wajah, baik dilihat dari depan, samping, atau terbalik, atau miring. Demikikan juga dengan posisi, model tetap mampu memdeteksi jika posisi wajah ada ditengah, dikiri, kanan atau pojok image.\n\n\n \nDengan Pooling kita dapat mengetahui posisi sebuah objects pada image. Pooling layer juga memberikan fleksibilitas pada convolutional neural network untuk mencegah overfitting.\n\nAda dua macam pooling, Max dan Average Pooling. (lihat gambar-2 untuk lebih jelas).\n\n- **Max Pooling** mengembalikan nilai maximum dari area yang ter-cover oleh Kernel. Selain melakukan dimensional reduction, Max pooling juga melakukan de-noising.\n- **Average Pooling** mengembalikan nilai average (rata-rata), dimana hanya melakukan dimensional reduction sebagai mekanisme noise reduction.\n\nJadi dapat dikatakan performa Max Pooling lebih baik dibanding Average Pooling.\n\n\n![max-average-pooling.png](https://cdn.steemitimages.com/DQmUWXNAzzyFcvhLZ3K3sUibjJzS4j9s1sL1NSNHWBc1LZt/max-average-pooling.png)\n\n\n*Gambar-2: Max dan Avarage Pooling*\n\nSource: https://skillplus.web.id/pengenalan-convolutional-neural-network-cnn/\nImage is courtesy of https://towardsdatascience.com/",
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      "body": "@@ -2478,163 +2478,8 @@\n diri\n-, mempelajari banyak pelajaran hidup yang berharga di sepanjang jalan, seperti kebenaran yang luar biasa bahwa ada hal-hal seperti keajaiban buatan manusia\n .%0A%0A%0A\n",
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      "author": "skillplus",
      "body": "@@ -2899,16 +2899,156 @@\n  Anda.%0A%0A\n+Dan tentu saja ini terbaik menurut saya, setiap orang mungkin punya pendapat lain, bagaimana dengan Anda? Silakan tinggalkan komentar... ;)%0A\n %0AAll ima\n",
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      "body": "Anda merasa bosan dengan tontonan genre drama cinta segitiga, atau konspirasi politik, atau film hantu? Lelah dengan tonton dengan pace yang cepat dan tegang? Ingin nonton sesuatu yang slow namun tetap menarik?\n\nMungkin Anda boleh coba anime dengan genre iyashikei, yang merupakan sub-genre dari slice of  life.\n\nIyashikei adalah tipe cerita dengan karakter utama menjalani kehidupan sehari-hari dengan tenang dilingkungan yang nyaman dengan karakter pendukung yang juga likeable.\n\nTujuan dari Iyashikei sendiri adalah healing effect pada penonton. Kata Iyashikei sendiri memang berarti healing.\n\nBerikut anime Iyashikei yang bisa dicoba\n\n**Yuru Camp (Laid back camp)**\n\n\n![yurucamp.jpg](https://cdn.steemitimages.com/DQmXFqP2NzqXqk3u29hiCsGKJPQ5gojUXpTdUD3ntdAd2jZ/yurucamp.jpg)\n\n\nMungkin liburan yang sempurna untuk sebagian besar gadis seusianya adalah liburan mewah bersama orang yang mereka cintai, namun tidak bagi Rin Shima. Solo camping di kaki Gunung Fuji adalah cara Rin menghabiskan liburan. \n\nKisah Solo Camping Rin menjadi  berwarna setelah terjadi pertemuan tak disengaja dengan Nadeshiko Kagamihara yang terpaksa berlindung di perkemahannya. Pertemuan yang kocak dan menghibur, membuat penonton penasaran dari episode 1 ke episode berikutnya.\n\nHingga saat ini, Yuru Camp sudah sampai Season 2. Belum ada informasi terbaru apakah akan ada Season 3.\n\nAnimasi: 8\nKarakter : 10 (saya suka semua karakter yuru camp)\nMusic: 8\nArt: 9\nVoice: 9\n\n**Non Non Biyori**\n\n\n![nonobiyori.jpg](https://cdn.steemitimages.com/DQmagv8R5qvkdJzHq6KDVFmufAWARZToxiqFvx9N3Kd5BQu/nonobiyori.jpg)\n\n\nJika Anda membayangkan kehidupan di pedesaan adalah membosankan, Renge Miyauchi dan ke empat temannya akan membuktikan sebaliknya. Selalu saja ada kejadian lucu, sedikit nakal dan mengharukan dalam tiap episode Non Non Biyori. \n\nTentu tidak setiap episode membuat Anda tertawa terbahak-bahak, namun selalu saja ada celotehan dari mereka yang mau tidak mau membuat kita tersenyum.\n\nAnimasi: 8\nKarakter : 8 \nMusic: 8\nArt: 9\nvoice: 8\n\n**Aria**\n\n\n![aria.jpg](https://cdn.steemitimages.com/DQmcfcnGRUDtdsEiSN8Htjp7JiGB6i13WxzASCSHzaWmzSL/aria.jpg)\n\n\nJika Anda baca review mengenai Iyashikei Anime, Aria selalu mendapat review baik. Bercerita tentang Akari Mizunashi, seorang pemandu wisata di Neo Venezia, sebuah kota di Planet Aqua.\n\nAnda akan menikmati animasi keindahan pedesaan, sambil mengikuti perjalanan Akari dalam berinteraksi dengan turis, penduduk Neo Venezia, dan bahkan kota itu sendiri, mempelajari banyak pelajaran hidup yang berharga di sepanjang jalan, seperti kebenaran yang luar biasa bahwa ada hal-hal seperti keajaiban buatan manusia.\n\n\nAnimasi: ?\nKarakter : ? \nMusic: ?\nArt: ?\nvoice: ?\n\nWalaupun genre Iyashikei bukan untuk setiap orang, namun tidak ada salahnya Anda coba. Saya dapat sarankan Yuru Camp, karena karekter disana cukup unik dan banyak humor-humor kecil yang dapat mencerikan hari Anda.\n\n\nAll image are courtesy of _https://myanimelist.net_",
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      "author": "skillplus",
      "body": "@@ -250,22 +250,22 @@\n genre iy\n-e\n+a\n shik\n-a\n+e\n i, yang \n@@ -308,22 +308,22 @@\n ife.%0A%0AIy\n-e\n+a\n shik\n-a\n+e\n i adalah\n@@ -489,22 +489,22 @@\n  dari Iy\n-e\n+a\n shik\n-a\n+e\n i sendir\n@@ -549,22 +549,22 @@\n  Kata Iy\n-e\n+a\n shik\n-a\n+e\n i sendir\n@@ -610,14 +610,14 @@\n e Iy\n-e\n+a\n shik\n-a\n+e\n i ya\n",
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      "author": "skillplus",
      "body": "@@ -2897,8 +2897,62 @@\n ri Anda.\n+%0A%0A%0AAll image are courtesy of _https://myanimelist.net_\n",
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      "author": "skillplus",
      "body": "Anda merasa bosan dengan tontonan genre drama cinta segitiga, atau konspirasi politik, atau film hantu? Lelah dengan tonton dengan pace yang cepat dan tegang? Ingin nonton sesuatu yang slow namun tetap menarik?\n\nMungkin Anda boleh coba anime dengan genre iyeshikai, yang merupakan sub-genre dari slice of  life.\n\nIyeshikai adalah tipe cerita dengan karakter utama menjalani kehidupan sehari-hari dengan tenang dilingkungan yang nyaman dengan karakter pendukung yang juga likeable.\n\nTujuan dari Iyeshikai sendiri adalah healing effect pada penonton. Kata Iyeshikai sendiri memang berarti healing.\n\nBerikut anime Iyeshikai yang bisa dicoba\n\n**Yuru Camp (Laid back camp)**\n\n\n![yurucamp.jpg](https://cdn.steemitimages.com/DQmXFqP2NzqXqk3u29hiCsGKJPQ5gojUXpTdUD3ntdAd2jZ/yurucamp.jpg)\n\n\nMungkin liburan yang sempurna untuk sebagian besar gadis seusianya adalah liburan mewah bersama orang yang mereka cintai, namun tidak bagi Rin Shima. Solo camping di kaki Gunung Fuji adalah cara Rin menghabiskan liburan. \n\nKisah Solo Camping Rin menjadi  berwarna setelah terjadi pertemuan tak disengaja dengan Nadeshiko Kagamihara yang terpaksa berlindung di perkemahannya. Pertemuan yang kocak dan menghibur, membuat penonton penasaran dari episode 1 ke episode berikutnya.\n\nHingga saat ini, Yuru Camp sudah sampai Season 2. Belum ada informasi terbaru apakah akan ada Season 3.\n\nAnimasi: 8\nKarakter : 10 (saya suka semua karakter yuru camp)\nMusic: 8\nArt: 9\nVoice: 9\n\n**Non Non Biyori**\n\n\n![nonobiyori.jpg](https://cdn.steemitimages.com/DQmagv8R5qvkdJzHq6KDVFmufAWARZToxiqFvx9N3Kd5BQu/nonobiyori.jpg)\n\n\nJika Anda membayangkan kehidupan di pedesaan adalah membosankan, Renge Miyauchi dan ke empat temannya akan membuktikan sebaliknya. Selalu saja ada kejadian lucu, sedikit nakal dan mengharukan dalam tiap episode Non Non Biyori. \n\nTentu tidak setiap episode membuat Anda tertawa terbahak-bahak, namun selalu saja ada celotehan dari mereka yang mau tidak mau membuat kita tersenyum.\n\nAnimasi: 8\nKarakter : 8 \nMusic: 8\nArt: 9\nvoice: 8\n\n**Aria**\n\n\n![aria.jpg](https://cdn.steemitimages.com/DQmcfcnGRUDtdsEiSN8Htjp7JiGB6i13WxzASCSHzaWmzSL/aria.jpg)\n\n\nJika Anda baca review mengenai Iyashikei Anime, Aria selalu mendapat review baik. Bercerita tentang Akari Mizunashi, seorang pemandu wisata di Neo Venezia, sebuah kota di Planet Aqua.\n\nAnda akan menikmati animasi keindahan pedesaan, sambil mengikuti perjalanan Akari dalam berinteraksi dengan turis, penduduk Neo Venezia, dan bahkan kota itu sendiri, mempelajari banyak pelajaran hidup yang berharga di sepanjang jalan, seperti kebenaran yang luar biasa bahwa ada hal-hal seperti keajaiban buatan manusia.\n\n\nAnimasi: ?\nKarakter : ? \nMusic: ?\nArt: ?\nvoice: ?\n\nWalaupun genre Iyashikei bukan untuk setiap orang, namun tidak ada salahnya Anda coba. Saya dapat sarankan Yuru Camp, karena karekter disana cukup unik dan banyak humor-humor kecil yang dapat mencerikan hari Anda.",
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      "body": "Tujuan dari convolutional layers pada CNN adalah **mengidentifikasi dan mengekstrak features dari sebuah image** dengan menggunakan filter sering disebut juga kernel atau feature detector.\n\nSetiap architecture CNN memiliki filter yang berbeda, umumnya menggunakan 3×3, 5×5 atau 7×7 matrix. Gambar berikut menunjukan proses yang terjadi pada convolutional layer:\n\n![cnn-kernel-filter.gif](https://cdn.steemitimages.com/DQmd52ex2571DFz9eANvKFoPeQV3Jy15BN89c9Qa375N2rx/cnn-kernel-filter.gif)\n*gambar-1: feature map / convolved feature*\n\nPada contoh gambar diatas, matrix filter yang digunakan adalah seperti berikut\n\n```\nKernel/Filter/Feature Detector, K = \n1  0  1\n0  1  0\n1  0  1\n```\n\nFilter akan melakukan scaning pada image, setiap pixel overlay akan dikalikan dengan filter lalu dijumlahkan. Nilainya akan disimpan dalam feature map atau convolved feature.\n\nFilter akan bergerak dari kiri ke kanan berdasarkan nilai stride sampai ke ujung kanan image. Kemudian turun dan kembali mulai ke sisi paling kiri, kemudian melakukan proses yang sama seperti diatas.\n \nStride adalah nilai yang menunjukan besarnya pergeseran, umumnya dua pixel. Lihat gambar dibawah, filter bergeser 2 pixel.\n\n\n![cnn-stride.gif](https://cdn.steemitimages.com/DQmVC62UUpxhHxTccvSFkwnepGyrEeQjtH3nLXWJjZtdi1d/cnn-stride.gif)\n*gambar-2: stride = 2*\n\nAda dua jenis operasi pada convolutional layer, yaitu mengurangi dimensi dan dimensi tetap (atau lebih besar).\n\nSame Padding, contoh image ukuran 5×5, ditambahkan padding menjadi 6×6. Saat diterapkan filter 3×3 akan menghasilkan feature map (convolved feature) 5×5, oleh karena itu disebut **same padding**. Lihat gambar dibawah untuk lebih jelas.\n\n\n![same-padding.gif](https://cdn.steemitimages.com/DQmPgbuMGzMYg4XhpogU1WNGWg1QArqbGucPfgPieJu35sE/same-padding.gif)\n*gambar-3: same padding*\n\nJIka tidak dilakukan penambahan padding pixel, proses diatas akan menghasilkan feature map (convolved feature) berukuran 3×3 (sesuai ukuran kernel itu sendiri), yang disebut **valid padding**. Ilustrasi gambar-1 adalah contoh valid padding.\n\nImage courtesy of : https://github.com/vdumoulin/conv_arithmetic\nSource: https://skillplus.web.id/pengenalan-convolutional-neural-network-cnn/",
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      "body": "@@ -1431,16 +1431,17 @@\n owser.%0A%0A\n+%0A\n Semoga b\n@@ -1450,8 +1450,71 @@\n manfaat.\n+%0A%0Asource: https://skillplus.web.id/gesture-touchpad-windows-10/\n",
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      "author": "steem.history",
      "body": "Hello welcome to Steemit world! \n I'm @steem.history, who is steem witness. \n This is a recommended post for you.[Newcomers Guide](https://steemitdev.com/guide/@steemitblog/steemit-a-guide-for-newcomers) and [The Complete Steemit Etiquette Guide (Revision 2.0)](https://steemit.com/steem/@steem.history/the-complete-steemit-etiquette-guide-revision-20-homage-1598425779) and, recommended community [Newcomers Community](https://steemit.com/trending/hive-172186) \n I wish you luck to your steemit activities.<center> \n \n \n https://cdn.steemitimages.com/DQmXHwdcNs5VPcBft1iSosPdHLpBNBfjuG84g3ffWhMw5JQ/image.png \n <sub>(The bots avatar has been created using https://robohash.org/)</sub> \n @steem.history \n \n ### My witness activity \n - [My aspiration for STEEM witness](https://steemit.com/hive-185836/@steem.history/my-aspiration-for-steem-witness-1601280729) \n - Provides information on Steem.  \n [Reference](https://steemit.com/trending/hive-130095) \n - Supporting the Steem project. \n [SPUD4STEEM project](https://steemit.com/trending/spud4steem) \n - Supporting the community. \n [Newcomers Community](https://steemit.com/trending/hive-172186),[Steem Sri Lanka](https://steemit.com/trending/hive-133716) ,[WORLD OF XPILAR](https://steemit.com/trending/hive-185836) \n \n ### My featured posts \n - [The Complete Steemit Etiquette Guide (Revision 2.0) -Homage](https://steemit.com/steem/@steem.history/the-complete-steemit-etiquette-guide-revision-20-homage-1598425779) \n \n [![image.png](https://cdn.steemitimages.com/DQmd7of2TpLGqvckkrReWahnkxMWH6eMg5upXesfsujDCnW/image.png)](https://steemlogin.com/sign/account-witness-vote?witness=steem.history&amp;approve=1) \n <sub>please click it!</sub> \n \n ![image.png](https://cdn.steemitimages.com/DQmWDnFh7Kcgj2gdPc5RgG9Cezc4Bapq8sQQJvrkxR8rx5z/image.png) \n <sub>(Go to https://steemit.com/~witnesses and type fbslo at the bottom of the page)</sub> \n \n </center>",
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      "body": "![toucpad-freepik.jpg](https://cdn.steemitimages.com/DQmeyuFFNFXkf839UM48GT27riZpNNwrgdgz7Phq6mPkYYw/toucpad-freepik.jpg)\n\n\nSering bekerja menggunakan laptop atau notebook? Jika Anda menggunakan windows 10, dan memiliki high precission touchpad, berikut gesture yang berguna agar pengalaman yang lebih menyenangkan dalam menggunakan laptop.\n\n- **Memilih atau click:** Arahkan mouse pouinter ke item yang akan dipilih, lalu tap satu kali dengan satu jari.\n- **Scroll halaman:** tempelkan dua jari, lalu slide keatas untuk scroll up, atau kebawah untuk scrolldown.\n- **Zoom in atau out:** tempelkan dua jari, untuk zoom ini, lebarkan jari, atau sempitkan jari tersebut untuk zoom out.\n- **Click kanan:** Tap dengan dua jari, atau tap dengan 1 jari pada pojok kanan bawah touchpad (tidak semua laptop).\n- **Melihat windows/aplikasi yang terbuka:** letakan tiga jari dan swipe keatas. Untuk kembali ke window tearkhir aktif swipe kebawah.\n- **Menampilkan desktop:** letakan tiga jari, lalu swipe kebawah, untuk kembali ke window terakhir aktif, swipe keatas.\n- **Berpindah antar open windows (sama dengan Alt+Tab):** letakan tiga jari, lalu swipe kiri atau kanan.\n- **Membuka Cortana:** tap tiga jari pada touchpad.\n- **Membuka action center:** Tap empat jari pada touchpad.\n- **Khusus pada browser (sudah dicoba pada Chrome):** swipe dua jari kekiri untuk back, swipe 2 jari ke kanan untuk next, jadi tidak usah menggunakan tombol browser.\n\nSemoga bermanfaat.",
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      "memo": "❗ Hello skillplus, welcome to the STEEM ecosystem. The Executive Board is publishing insider infos at https://discord.gg/KyBbmhh on how you will be earning the most coins. It's easy, just follow the instructions. THE 1000X BOOSTER KEY is already waiting for you over there too. 😉 Warm regards, The Executive Board.",
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    }
  ],
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  "timestamp": "2021-05-16T09:57:27",
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}

{
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  "timestamp": "2021-05-16T09:55:48",
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}

{
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      "new_account_name": "skillplus",
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}