Resource of free step by step video how to guides to get you started with machine learning.
Showing posts with label Image classification. Show all posts
Showing posts with label Image classification. Show all posts
Monday, May 6, 2024
Image Classification with Google Teachable Machine: Build Your First AI Model in a Minute!
Want to learn the basics of AI and build your own image classification model? This video takes you through a step-by-step tutorial using Teachable Machine, a free and easy-to-use tool by Google. In minutes, you'll be able to train your own model to recognise different classes or categories in images, audio files or even pose recognition! Perfect for beginners or anyone curious about AI. Be sure to check out my social media links in the description below for more educational content and updates. Website: https://roushanakrahmat.github.io/ ๐ท Linkedin: https://www.linkedin.com/in/roushanakrahmat/ ๐ค Twitter: https://twitter.com/RoushanakRahmat ๐ Instagram: https://www.instagram.com/roushanakrahmat/ ๐ป Github: https://github.com/RoushanakRahmat ๐ฝ Youtube: https://youtube.com/@RoushanakRahmat ๐ Medium: https://medium.com/@roushanakrahmat Like, comment, and share this video with anyone who might benefit from it. Remember, the future belongs to those who strive and never stop learning. Let's make your dreams a reality!
Sunday, May 5, 2024
Image Classification with Google Teachable Machine: Build Your First AI Model in a Minute!
Want to learn the basics of AI and build your own image classification model? This video takes you through a step-by-step tutorial using Teachable Machine, a free and easy-to-use tool by Google. In minutes, you'll be able to train your own model to recognise different classes or categories in images, audio files or even pose recognition! Perfect for beginners or anyone curious about AI. Be sure to check out my social media links in the description below for more educational content and updates. Website: https://roushanakrahmat.github.io/ ๐ท Linkedin: https://www.linkedin.com/in/roushanakrahmat/ ๐ค Twitter: https://twitter.com/RoushanakRahmat ๐ Instagram: https://www.instagram.com/roushanakrahmat/ ๐ป Github: https://github.com/RoushanakRahmat ๐ฝ Youtube: https://youtube.com/@RoushanakRahmat ๐ Medium: https://medium.com/@roushanakrahmat Like, comment, and share this video with anyone who might benefit from it. Remember, the future belongs to those who strive and never stop learning. Let's make your dreams a reality!
Thursday, April 25, 2024
Teachable Machine For AI Modelling For Everyone
Teachable Machine is an intuitive, web-based tool developed by Google that allows users to create machine learning models without any coding. It's designed to make artificial intelligence accessible to educators, students, hobbyists, and anyone interested in exploring machine learning through a hands-on approach. . Here are some research papers publsihed using AutoML: ¤ AutoML in predicting platform supply vessel freight market https://doi.org/10.1016/j.cie.2024.110153 (open access) ¤ Accident risk prediction using AutoML https://doi.org/10.1016/j.ress.2024.110148 (open access) ¤Early Identification of At-Risk Students https://doi.org/10.54941/ahfe1003150 (open access) . Join the ResearchHUB Community: FB Page: https://www.facebook.com/research.hub.org FB Group: https://www.facebook.com/groups/research.hub.org Instagram: https://www.instagram.com/research.hub →Website: https://researchhub.org . Follow the RHUB Founder: ResearchGate: https://www.researchgate.net/profile/Ziaul_Munim LinkedIn: https://www.linkedin.com/in/ziaulmunim Twitter: https://twitter.com/zhmunim →Website: https://www.ziaulmunim.com
Saturday, April 13, 2024
Step-by-Step Guide to Fashion MNIST classification with Deep Learning Neural Networks
๐ Mastering Fashion MNIST Classification with TensorFlow | Step-by-Step Guide ๐ฅ Ready to dive into the world of deep learning? Learn how to build a powerful image classifier using TensorFlow in this comprehensive tutorial! ๐ In this video, you'll discover: ๐ ️ Installing necessary libraries: Get started by installing and importing essential libraries like TensorFlow and Matplotlib. ๐ Data preprocessing: Dive into the Fashion MNIST dataset, exploring its structure and preparing it for training. ๐ง Building the model: Construct a Multi-Layer Perceptron (MLP) architecture using TensorFlow's Sequential API. ๐ฏ Compiling the model: Configure the model with appropriate loss functions and optimizers for training. ๐ก Training and evaluation: Train the model on the dataset and evaluate its performance using accuracy metrics. ๐ Visualizing training progress: Analyze the training history through loss and accuracy plots. ๐ Making predictions: Utilize the trained model to make predictions on unseen data and evaluate its accuracy. ๐ Dive deeper into the world of deep learning and enhance your skills with this hands-on tutorial! ๐ Don't forget to like, share, and subscribe for more exciting content on machine learning and artificial intelligence! #FashionMNIST #TensorFlow #DeepLearningTutorial #MachineLearning #AI #TechTutorial #DataScienceTutorial #pythontutorial #aiproject #machinelearningprojects #neuralnetworks #collegeprojects GITHUB CODE LINK: https://github.com/akd6203/fashion_mnist Sentiment Analysis on Food Reviews using Machine Learning: https://www.youtube.com/watch?v=D2t-P3zEeSk Follow me on github: https://github.com/akd6203/ Follow me on Instagram: https://www.instagram.com/cwadtech/ Cat and Dog Classification using Machine Learning: https://www.youtube.com/watch?v=d2gJMLP_IMU MNIST Digit Classification using Neural Networks https://www.youtube.com/watch?v=ejqE7ZQwQuM Character Recognition step by step: https://youtu.be/Sc_ycuEoGQw Brain Tumor Classification: https://youtu.be/5lgrlddp-98 Here is link for sentiment analysis using sklearn (on food reviews dataset): https://youtu.be/D2t-P3zEeSk If you want to learn complete web development using django in simple way, click on link below: https://youtube.com/playlist?list=PLjgQNOZoi8hRxemMRRJlGSLHn9rg9k9-h If you want to learn Python from scratch in easy way, click on link below: https://youtube.com/playlist?list=PLjgQNOZoi8hQyRiIaCTiGYfgKMyO6GazR Learn CRUD using PHP and MySQL https://youtube.com/playlist?list=PLjgQNOZoi8hRTCP6jjgEH0TnmgpYcw_3C Artificial Intelligence https://www.youtube.com/playlist?list=PLjgQNOZoi8hSmBCMawchaHfzdOuEBspN-
Friday, April 12, 2024
Step-by-Step Guide to Classifying Fashion MNIST with Deep Learning Neural Networks using TensorFlow
๐ Mastering Fashion MNIST Classification with TensorFlow | Step-by-Step Guide ๐ฅ Ready to dive into the world of deep learning? Learn how to build a powerful image classifier using TensorFlow in this comprehensive tutorial! ๐ In this video, you'll discover: ๐ ️ Installing necessary libraries: Get started by installing and importing essential libraries like TensorFlow and Matplotlib. ๐ Data preprocessing: Dive into the Fashion MNIST dataset, exploring its structure and preparing it for training. ๐ง Building the model: Construct a Multi-Layer Perceptron (MLP) architecture using TensorFlow's Sequential API. ๐ฏ Compiling the model: Configure the model with appropriate loss functions and optimizers for training. ๐ก Training and evaluation: Train the model on the dataset and evaluate its performance using accuracy metrics. ๐ Visualizing training progress: Analyze the training history through loss and accuracy plots. ๐ Making predictions: Utilize the trained model to make predictions on unseen data and evaluate its accuracy. ๐ Dive deeper into the world of deep learning and enhance your skills with this hands-on tutorial! ๐ Don't forget to like, share, and subscribe for more exciting content on machine learning and artificial intelligence! #FashionMNIST #TensorFlow #DeepLearningTutorial #MachineLearning #AI #TechTutorial #DataScienceTutorial #pythontutorial #aiproject #machinelearningprojects #neuralnetworks #collegeprojects GITHUB CODE LINK: https://github.com/akd6203/fashion_mnist Sentiment Analysis on Food Reviews using Machine Learning: https://www.youtube.com/watch?v=D2t-P3zEeSk Follow me on github: https://github.com/akd6203/ Follow me on Instagram: https://www.instagram.com/cwadtech/ Cat and Dog Classification using Machine Learning: https://www.youtube.com/watch?v=d2gJMLP_IMU MNIST Digit Classification using Neural Networks https://www.youtube.com/watch?v=ejqE7ZQwQuM Character Recognition step by step: https://youtu.be/Sc_ycuEoGQw Brain Tumor Classification: https://youtu.be/5lgrlddp-98 Here is link for sentiment analysis using sklearn (on food reviews dataset): https://youtu.be/D2t-P3zEeSk If you want to learn complete web development using django in simple way, click on link below: https://youtube.com/playlist?list=PLjgQNOZoi8hRxemMRRJlGSLHn9rg9k9-h If you want to learn Python from scratch in easy way, click on link below: https://youtube.com/playlist?list=PLjgQNOZoi8hQyRiIaCTiGYfgKMyO6GazR Learn CRUD using PHP and MySQL https://youtube.com/playlist?list=PLjgQNOZoi8hRTCP6jjgEH0TnmgpYcw_3C Artificial Intelligence https://www.youtube.com/playlist?list=PLjgQNOZoi8hSmBCMawchaHfzdOuEBspN-
Friday, March 8, 2024
Dog Breed Detection Python | Transfer Learning Computer Vision | Deep Learning Tutorials | Part 2
#machinelearning #computervision #transferlearning In this video, we are going deeper into dog breed detection using transfer learning in Python. Explore advanced techniques in computer vision with deep learning models. Part 2 of our comprehensive tutorial series. Source Code: https://github.com/611noorsaeed/dog_breeds_detection_transfer_learning_fine_tuning_InceptionV3_Model/blob/main/app.py ============================== Channel Contents:------------- Full Stack AI Mastery: From Python to Expert Systems: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQZWqrFYTutbuqHSc_swn7H Deep Learning: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQgPC9q-fD7LKqiDSKBoGH6 Machine Learning Tutorials: https://www.youtube.com/watch?v=GnTIt3IFKEQ&list=PLdF3rLdF4ICTrOTMQ5XaUtHc-K0KGQzSS&pp=gAQBiAQB NLP Transfromer Projects: https://www.youtube.com/watch?v=cLtKAhaUqeo&list=PLdF3rLdF4ICRND3Urdm2nf6MM9ntkjvO6&pp=gAQBiAQB LangChain OpenAI Projects: https://www.youtube.com/watch?v=XmGtJG4ubqs&list=PLdF3rLdF4ICTwGLcd7FjqVurZe2OaWlz5&pp=gAQBiAQB Scikit-learn Tutorials: https://www.youtube.com/watch?v=NcVgJKaFecY&list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0&pp=gAQBiAQB 100 Days Pandas: https://www.youtube.com/watch?v=U-6mZM8Ejc0&list=PLdF3rLdF4ICQGnskar9tqCuhi_tSCk40-&pp=gAQBiAQB Machine Leaning Projects: https://www.youtube.com/watch?v=eAgwvECLIRk&list=PLdF3rLdF4ICTDKN1VVTfAv35NR5mjK_hk&pp=gAQBiAQB NLP Projects: https://www.youtube.com/watch?v=hG8K5h2J-5g&list=PLdF3rLdF4ICQ4-fSEucMqoqMz1tEyjp9q&pp=gAQBiAQB Recommendation System Projects: https://www.youtube.com/watch?v=_R9Q_iuyvdc&list=PLdF3rLdF4ICTgEwDYcRAECQPnS8eynavM&pp=gAQBiAQB computer vision projects: https://www.youtube.com/watch?v=Ip3sjNGK7zU&list=PLdF3rLdF4ICQ92Su6Tg-S6tOuxO32NgWs&pp=gAQBiAQB 100 days mahine learning: https://www.youtube.com/watch?v=15zmcnX1Wts&list=PLdF3rLdF4ICQs8-3EzEEGOIIf6zKRWA6A&pp=gAQBiAQB Machine Learning Interview Preparation: OpenCV Tutorials: https://www.youtube.com/watch?v=gseWKGSvQrA&list=PLdF3rLdF4ICQG-RyfcOK3UgPP1XwKLexB&pp=gAQBiAQB 100 days computer vision: https://www.youtube.com/watch?v=4FBorEEinq4&list=PLdF3rLdF4ICSDGGZz6wj118qbVtQwgt7h&pp=gAQBiAQB Python Chatbot Development: https://www.youtube.com/watch?v=zktB8ceV7K0&list=PLdF3rLdF4ICQ3IeMsyl6ZI4NK45TPK1GJ&pp=gAQBiAQB Machine Learning Regression Projects: https://www.youtube.com/watch?v=5nl2JQzCUlg&list=PLdF3rLdF4ICTDXoDdeeyz6u9VGI-XggEK&pp=gAQBiAQB Python Advance Programs: https://www.youtube.com/watch?v=KS8j67rR6_M&list=PLdF3rLdF4ICRj-s_NsGmjxiZe4GKw4bgO&pp=gAQBiAQB python search engines developement: https://www.youtube.com/watch?v=9IULlMcQLE4&list=PLdF3rLdF4ICReR8yF6AFMPwgxyD1IoFMz&pp=gAQBiAQB Coviod-19 Machine Learning Projects: https://www.youtube.com/watch?v=AhbvQbc8f-s&list=PLdF3rLdF4ICQeWXTfln9Y9TQuzQBt97HB&pp=gAQBiAQB ================================ My Acounts Links: Facebook: https://web.facebook.com/dailyverbs.wordspresentation Github: https://github.com/account Linkdin: https://www.linkedin.com/in/noor-saeed-654a23263/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BeidTfdQpSxSZXyUUejm5QQ%3D%3Dlipi=urn%3Ali%3Apage%3Anotifications_index_index%3Bfab7a03f-abe6-4798-af17-7239d91f7998 Kaggle: https://www.kaggle.com/noorsaeed
Wednesday, November 16, 2022
How to hack in AI classes | Teachable Machine tutorial
Have you ever been trapped with all of those CNN, Tensorflow, and Pytorch AI tutorials? Teachable Machine is a simple tool for summarizing what's inside an AI project and making it a piece of cake for you. (No code, No experience, No shitty words) Let's begin with money classification! Source code: https://github.com/mrzaizai2k/Money-classification Media members: - Chi Bao - Mai Ngan Hashtag: #teachablemachine #moneyclassification #AIfromscratch ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Thanks For Watching ✅LIKE ✅SHARE ✅ SUBSCRIBE ✅If you've got any suggestions for future projects, let me know in the comments section. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Catch me on the web with the links below: ๐Phone/Zalo: +84 32 762 0475 ๐ง Email: chibao24.12.1999@gmail.com ☎️Telegram: @Chibao_mrzaizai2k ๐ป GitHub: https://github.com/mrzaizai2k Upwork/ LinkedIn/ Kaggle: https://bit.ly/Mrzaizai2k_AIchannel ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ If my YouTube videos, GitHub, Kaggle projects help you, consider helping me out by BUYING ME A COFFEE! https://bit.ly/Mrzaizai2k_AIchannel ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ TIMESTAMPS: 0:00 How to hack in AI classes Teachable Machine tutorial 0:44 Teachable Machine Introduction 1:18 Data collecting and preprocessing 2:43 Money classification 3:00 Training and setting parameters 3:42 Accuracy, Loss 4:13 Result of image classification 5:35 Export model and implement of Pycharm 7:56 Implement with OpenCV 8:31 Image classification on webcam
Subscribe to:
Posts (Atom)
-
Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow) [Collection] In a special live ep...
-
#minecraft #neuralnetwork #backpropagation I built an analog neural network in vanilla Minecraft without any mods or command blocks. The n...
-
❤️ Check out Fully Connected by Weights & Biases: https://wandb.me/papers ๐ The paper "Alias-Free GAN" is available here: h...
-
Using More Data - Deep Learning with Neural Networks and TensorFlow part 8 [Collection] Welcome to part eight of the Deep Learning with ...
-
Visual scenes are often comprised of sets of independent objects. Yet, current vision models make no assumptions about the nature of the p...
-
Why are humans so good at video games? Maybe it's because a lot of games are designed with humans in mind. What happens if we change t...
-
#ai #attention #transformer #deeplearning Transformers are famous for two things: Their superior performance and their insane requirements...