XOR ML Example - AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 8

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks #Perceptron #Backpropagation #AND #XOR #DeepLearning #Backpropagation **This video is best viewed with the 1080p60 HD setting Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Checkout out Part 4 of this series: https://youtu.be/y7_UTqwx5Y0 Checkout out Part 5 of this series: https://youtu.be/9sBj6qcauLU Checkout out Part 6 of this series: https://youtu.be/6AYig0h5klY Checkout out Part 7 of this series: https://youtu.be/gMv91zngjLU GitHub Google Colaboratory notebooks Project_Template: https://github.com/BlackMagicAI/AI-ML-Workshop/blob/master/notebooks/Project_Template.ipynb Completed XOR Example Project: https://github.com/BlackMagicAI/AI-ML-Workshop/blob/master/notebooks/xor_project.ipynb Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics & Recap of Part 7 - (0:19) 2. XOR Solution Using A Neural Network - (2:01) 3. Machine Learning Workflow - (2:55) 4. XOR Project Tools - (3:59) 4. Open Google Colaboratory files - (4:37) 5. Library Imports - (9:05) 6. Data Preparation - (13:42) 7. Feature Extraction - (18:36) 8. Build Model - (28:48) 9. Train Model - (41:55) 10. Evaluate Model - (47:00) 11. Inference – Make Predictions - (52.21) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.

Backpropagation - AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 7

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks #Perceptron #Backpropagation #AND #XOR #DeepLearning #Backpropagation Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Checkout out Part 4 of this series: https://youtu.be/y7_UTqwx5Y0 Checkout out Part 5 of this series: https://youtu.be/9sBj6qcauLU Checkout out Part 6 of this series: https://youtu.be/6AYig0h5klY Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics & Recap of Part 6 - (0:20) 2. Road to backpropagation - (1:52) 3. XOR Solution Using A Neural Network - (3:05) 4. Training Perceptrons - (5:42) 4. Error Function - (11:13) 5. Error Gradient - (14:51) 6. Delta Rule & Gradient Descent - (18:19) 7. Training using Backpropagation - (24:07) 8. Backpropagation Algorithm Summary - (28:06) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ References and Additional Resources Perceptron Training Rule https://youtu.be/7VV_fUe6ziw BACKPROPAGATION algorithm. How does a neural network learn ? A step by step demonstration. https://youtu.be/YOlOLxrMUOw What is backpropagation really doing? | Deep learning, chapter 3 https://youtu.be/Ilg3gGewQ5U Background Music Royalty Free background music from Bensound.com.

AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 5

#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks #Perceptron #Backpropagation Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Checkout out Part 4 of this series: https://youtu.be/y7_UTqwx5Y0 Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics & Recap of Part 4 - (0:18) 2. Introduction to Neural Networks - (1:25) 3. Neural Networks: Learning and Training - (3:23) 4. Perceptrons - (5:41) 5. Perceptron Magic and Perceptron Anatomy - (8:16) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.