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| Art_example | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Art_example |
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| Autoencoder | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Autoencoder |
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| Datasets | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Datasets |
| Datasets | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Datasets |
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| Generic_algorithm | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Generic_algorithm |
| Generic_algorithm | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Generic_algorithm |
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| Highway-lane-tracker | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Highway-lane-tracker |
| ImageNet_example | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/ImageNet_example |
| ImageNet_example | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/ImageNet_example |
| Linear_regression | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Linear_regression |
| Linear_regression | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Linear_regression |
| Logistic_regression | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Logistic_regression |
| Logistic_regression | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Logistic_regression |
| MNIST_example | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/MNIST_example |
| MNIST_example | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/MNIST_example |
| Neural_network | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Neural_network |
| Neural_network | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Neural_network |
| Object_detection | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Object_detection |
| Object_detection | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Object_detection |
| Prepare_datasets | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Prepare_datasets |
| Prepare_datasets | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Prepare_datasets |
| Principal_Component_Analysis | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Principal_Component_Analysis |
| Principal_Component_Analysis | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Principal_Component_Analysis |
| Recurrent_neural_network | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Recurrent_neural_network |
| Recurrent_neural_network | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Recurrent_neural_network |
| Scene-Text-Detection-with-SPCNET | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Scene-Text-Detection-with-SPCNET |
| Scene-Text-Detection-with-SPCNET | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Scene-Text-Detection-with-SPCNET |
| Text_classification | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Text_classification |
| Text_classification | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/Text_classification |
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| ipynb | https://patch-diff.githubusercontent.com/adminho/machine-learning/tree/master/ipynb |
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| README.md | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/README.md |
| README | https://patch-diff.githubusercontent.com/adminho/machine-learning |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#machine-learning--deep-learning-examples |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#requirement |
| ANACONDA | https://www.continuum.io/downloads |
| TensorFlow | https://www.tensorflow.org/ |
| Keras | https://keras.io/ |
| tqdm | https://pypi.python.org/pypi/tqdm |
| FFmpeg | https://www.ffmpeg.org/download.html |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#table--of-content |
| see | https://patch-diff.githubusercontent.com/adminho/machine-learning#beginer |
| see | https://patch-diff.githubusercontent.com/adminho/machine-learning#machine-learningdeep-learning-basics |
| see | https://patch-diff.githubusercontent.com/adminho/machine-learning#computer-vision |
| see | https://patch-diff.githubusercontent.com/adminho/machine-learning#natural-language-processingnlp |
| see | https://patch-diff.githubusercontent.com/adminho/machine-learning#speech-audio-music |
| see | https://patch-diff.githubusercontent.com/adminho/machine-learning#miscellaneous |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#my-examples-ลิงบ้างอย่างกำลังปรับปรุงอาจเข้าไม่ได้ขณะนี้ |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#beginer |
| ทบทวนภาษา Python ของเด็กม.1,2,3 ในวิชาวิทยการคำนวณ | https://colab.research.google.com/drive/1Eg-jsOzNzN8M0g35dvDT1ryem7RuDGYQ?usp=sharing |
| Data Basics and Introduction to Numpy | https://colab.research.google.com/drive/1kV4_vASlIVqtpkfQSm4VB7oTeofjhbBQ?usp=sharing |
| Data Manipulation with Pandas | https://colab.research.google.com/drive/1_CZ_Yiq3ihLpnOl0QlxFUZmTqoYeHeW2?usp=sharing |
| Data Visualization and Matplotlib | https://colab.research.google.com/drive/1K_YLTNrwNzDB-179pigpsbacW6U21aEk?usp=sharing |
| Matplotlib | https://colab.research.google.com/drive/10h6_-LF8wvvDgNWWOiUkTMN5djFP2feA?usp=sharing |
| numpy | https://colab.research.google.com/drive/1TLjprnOV67j9hUw5_bHaTKVxRldQscov?usp=sharing |
| Pandas | https://colab.research.google.com/drive/1RPzUlaMdnJMaZPaxxJ4atu_l1Hq2SFRk?usp=sharing |
| Tensorflow | https://colab.research.google.com/drive/1h52TQUk6IElRBN_3tqyniyXZzoHc4R9p?usp=sharing |
| PYTorch | https://colab.research.google.com/drive/1jAV8nvhDP24uhPT1Jmgg6r6t46jVOx9Q?usp=sharing |
| Prepare datasets | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Prepare_datasets |
| Activation function | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Activation_function |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#machine-learningdeep-learning-basics |
| Basic Machine learning | https://colab.research.google.com/drive/1ZRMW3fXGWUvkeFPM07qtFXoSbLmuMpO1 |
| Linear and nonlinear regression | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Linear_regression |
| Logistic regression | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Logistic_regression |
| Principal Component Analysis | https://colab.research.google.com/drive/1FoGtB5xW1aWeQ7hlTmuB1AhXuFMx-jTo |
| Text classification | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Text_classification |
| Classification and Clustering (compare between KK-N and K-means) | https://colab.research.google.com/drive/1B7ZxRDs3x3CsitI49xY7l3pWFYYJYsvB |
| Naive_Bayes | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master |
| Genetic algorithm | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Genetic_algorithm |
| Neural network (multilayer perceptrons) paints an image. | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Art_example |
| Neural network | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Neural_network |
| Autoencoder | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Autoencoder |
| Convolutional neural network | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Convolutional_neural_network |
| Recurrent neural network | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Recurrent_neural_network |
| Generative adversarial network | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Generative_adversarial_network |
| MNIST example | https://colab.research.google.com/drive/1KsGnaw9jE4wnmXK2mf2C4-Ylnj6nXbFw |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#computer-vision |
| ImageNet classification | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/ImageNet_example |
| imageai library | https://colab.research.google.com/drive/1uQnZfPlRhplvcZKWiXn1jeytJIFEVLkV |
| pixellib library | https://colab.research.google.com/drive/1llWzReE3rS9wDfSGGm8M7RQ25jeEfSIi |
| Tensorflow Example | https://colab.research.google.com/drive/12K-4uQ1tAvOukLb1-lwXx4bnXkeQupTk |
| Mask RCNN | https://colab.research.google.com/drive/1JGRIMQ1YSdMXkEZdC6QNGbI722tEQJTE |
| Detectron2 | https://colab.research.google.com/drive/1jnWFADFdZHz1LSyfXVKHY3fIwuY5F_uo |
| Pose estimation | https://colab.research.google.com/drive/1zWplcKN6ElL1eJmwKj3IqGFy3gg9Neus |
| Face Recognition | https://colab.research.google.com/drive/1MnypOHemKhMEXCaWOgm6-ViYqF7GENWH |
| OCR | https://colab.research.google.com/drive/11RPwkNX-L1Wi9BVni-tzvrlsHff50BOz |
| Face Swap | https://colab.research.google.com/drive/1k2ieb4_iicnFrn7ka14-E165VC4023Kd |
| Porn detection | https://colab.research.google.com/drive/1WOXCXgU_oJ5rSaYr0LO8Linwv7GfGHnX?usp=sharing |
| Highway-lane-tracker | https://colab.research.google.com/drive/15dZ1Zt_TCsCsL5oqfLcSfSj-aYWmSuTi |
| Detecting COVID-19 in X-ray images | https://colab.research.google.com/drive/11ohI5nJiLVc23t2LRUfUmOYBvPYHJDnX |
| Detect 2D facial landmarks in pictures | https://colab.research.google.com/drive/1MDRYnhhPb2l3w0QIjV9beuc26Ng5BOPc |
| Detecting Photoshopped Faces by Scripting Photoshop | https://colab.research.google.com/drive/1y4zN4AHhx0NYYx7szfW6C5aWsFdZZvml |
| Detect people who wearin a mask? | https://colab.research.google.com/drive/1G5q8PpsWG-VLdHNbChwonSiLgkPPftOm |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#natural-language-processingnlp |
| Tudkumthai | https://colab.research.google.com/drive/1tLrKRFR6i4TAzrbJ8wgsp4aihfWnMgnT |
| Language Models: GPT-2 | https://colab.research.google.com/drive/1lZoaSLo2Ip-mlBNUFpjKhVAPWDenbRCu |
| Python example | https://colab.research.google.com/drive/1aca28YHet8DZ3jw-3wCx-Y40XR-6hpDJ |
| JavaScript exmample | https://github.com/adminho/javascript/blob/master/examples/google_translate/translate_general.html |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#speech-audio-music |
| Use javascript+HTML | https://github.com/adminho/javascript/tree/master/examples/speech-recognition/web |
| Use speech to control a game | https://github.com/adminho/javascript/tree/master/examples/speech-recognition/game |
| Speech to Text with Thonburian Whisper | https://colab.research.google.com/drive/1_dgg2GVP9BzDUZe6JSwOG05X0UPl_P71?usp=sharing |
| Real Time Voice Cloning | https://colab.research.google.com/drive/1BmiqJkg_lAppvIJbF7QhJpSTsbjvhiK1 |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#miscellaneous |
| Artistic style | https://patch-diff.githubusercontent.com/adminho/machine-learning/blob/master/Artistic_style |
| Pix2Code | https://colab.research.google.com/drive/1i1CeQoS8LXTkQFn08Z4aFV8BNwF8eNjZ |
| Remove Image Background | https://colab.research.google.com/drive/1n1s30OAeNeC6UNmNk2wPxL-e2gkF3-cu |
| Trading in Thailand Stock: ตัวอย่างการเอา AI มาใช้ในตลาดหุ้นไทย | https://github.com/adminho/trading-stock-thailand |
| AI for Thai:AI สัญญาชาติไทยใช้ง่ายไม่ยาก จากทีมนักวิจัยของ NECTEC ปัจจุบันให้บริการผ่านเว็บเซอร์วิส | https://colab.research.google.com/drive/1dtKFJ3-5i30vN2cpakcAPkSYqxJDAHFs?usp=sharing |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#cite |
| https://paperswithcode.com/ | https://paperswithcode.com/ |
| https://github.com/keras-team/keras/tree/master/examples | https://github.com/keras-team/keras/tree/master/examples |
| https://github.com/madewithml/lessons | https://github.com/madewithml/lessons |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#note |
| คลิกเข้าไปดูได้ | https://www.facebook.com/share/p/fGzieBbXfG3YVTeu/ |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#ขออนุญาตประชาสัมพันธ์-แอบขายของ |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#ตัวอย่างแต่ละบท |
| ตัวอย่างสารบัญ | https://drive.google.com/file/d/1wgoanr4CsswsWeqBQq0O-OYECLb2sdgB/view?usp=sharing |
| บทที่ 1, 3, 4 | https://drive.google.com/file/d/1wgoanr4CsswsWeqBQq0O-OYECLb2sdgB/view?usp=sharing |
| บทที่ 8, 9, 10 | https://drive.google.com/file/d/1ANlGwauHUwk-zcF5vNBclyKu-krs97AV/view?usp=sharing |
| https://www.mebmarket.com/web/index.php?action=BookDetails&data=YToyOntzOjc6InVzZXJfaWQiO3M6NzoiMTcyNTQ4MyI7czo3OiJib29rX2lkIjtzOjY6IjEwODI0NiI7fQ |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#เอกสารประกอบหนังสือ |
| คอร์สสอนวิชาการเขียนโปรแกรมสำหรับนิสิต ปี 1 คณะวิศวกรรมศาสตร์ ภาคปลาย ปีการศึกษา 2558 รหัสวิชา 2110101 Computer Programming สอนโดยดร. สมชาย ประสิทธิ์จูตระกูล ใช้ Python | https://www.youtube.com/playlist?list=PL0ROnaCzUGB4ieaQndKybT9xyoq2n9NGq |
| วิดีโอสอนภาษา Python โดย SIPA | https://www.youtube.com/watch?v=KcAX613khH4&list=PLtM3znnbMbVWZ1ICKEi7Gr9dxdJc_ppel |
| วิดีโอสอน Python โดย Clique Club - ชมรมคลิก ของจุฬา | https://www.youtube.com/playlist?list=PLVcky7_Sy_7ltVaI1WVIWDvit_DtgUYBw |
| วิดีโอสอน Python โดย รศ. ดร. ประเสริฐ คณาวัฒนไชย จากจุฬาฯ | https://www.youtube.com/playlist?list=PLoTScYm9O0GH4YQs9t4tf2RIYolHt_YwW |
| หนังสือเชี่ยวชาญการเขียนโปรแกรมด้วยไพธอน โดย ผศ. สุชาติ คุ้มมะณี | https://drive.google.com/file/d/1_xvEhRquLeZJbLLKrK1e5liJdb_HDEBH/view |
| หนังสือสอนเขียนโปรแกรมภาษา Python ใช้ประกอบการเรียนวิชา 2110101 Computer Programming ของวิศวกรรมคอมพิวเตอร์ จุฬาฯ โดย กิตติภณ พละการ, กิตติภพ พละการ สมชาย ประสิทธิ์จูตระกูล และ สุกรี สินธุภิญโญ | https://www.cp.eng.chula.ac.th/books/python101/ |
| แหล่งเรียนรู้ฟรีด้าน AI, Machine learning | https://www.patanasongsivilai.com/blog/sdm_downloads/source-free-ai-machine-learning/ |
| https://www.mebmarket.com/web/index.php?action=BookDetails&data=YToyOntzOjc6InVzZXJfaWQiO3M6NzoiMTcyNTQ4MyI7czo3OiJib29rX2lkIjtzOjY6IjE5MjkyMiI7fQ |
| ตัวอย่าง 3.5.3 ข้อมูลเป็นรูปภาพ | https://drive.google.com/file/d/1F7L10ii719wVIuoO_NwOmxazXcjTxE40/view?usp=sharing |
| พิสูจน์ที่มาของการทำ backpropagation | https://drive.google.com/file/d/1X47DN-U850JguOfTiZ0_-9ZCtlc_6caw/view?usp=sharing |
| หัวข้อ 8.7 Convolution กับภาพสี | https://drive.google.com/file/d/1l7nCCjO5KWbCYN_1wsB22rLdlDPPHH2G/view?usp=sharing |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#โค้ดตัวอย่าง-python-ประกอบหนังสือ |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#บทที่-3-ถึง-6 |
| ตัวอย่างโค้ดบทที่ 3, 4, 5 และ 6 | https://colab.research.google.com/drive/1-rzF06JtujgzWGB6keohDShDcuJOAFaf?usp=sharing |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#บทที่-7-ถึง-9 |
| ตัวอย่างโค้ดบทที่ 7, 8 และ 9 | https://colab.research.google.com/drive/1plsr_ff303-617huXDINCkfwZ-58SoK7?usp=sharing |
| https://patch-diff.githubusercontent.com/adminho/machine-learning#บทที่-11-จะมีหลายตัวอย่าง |
| Autoencoder | https://colab.research.google.com/drive/16QcNEBnreLsSdU-cIDrfAVo59KInaJ8l?usp=sharing |
| Generative Adversarial Network (GAN) | https://colab.research.google.com/drive/1iis6NQMXnmYvzcznD-38VlN6kPmf9-hc?usp=sharing |
| Siamese Network | https://colab.research.google.com/drive/1mYnZwOSDnWsVJwFRKmhAgZUv3XsiLdyk?usp=sharing |
| Sequence-to-Sequence (Seq2Seq) | https://colab.research.google.com/drive/1pE1ITTaZBnLfgwtslNnMFfc84_QxbeJ2?usp=sharing |
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