Linear Regression Tutorial using Tensorflow and Keras

📚 Blog post Link: https://learnopencv.com/tensorflow-keras-tutorial-linear-regression/ 📚 Check out our FREE Courses at OpenCV University : https://opencv.org/university/free-courses/ We introduce the topic of linear regression in the context of a simple neural network. we also show how Keras can be used to model and train the network, to learn the parameters of the linear model and how to visualize the model predictions. Before studying deep neural networks, we will cover the fundamental components of a simple (linear) neural network. We’ll begin with the topic of linear regression. Since linear regression can be modeled as a neural network, it provides an excellent example to introduce the essential components of neural networks. Regression is a form of supervised learning which aims to model the relationship between one or more input variables (features) and a continuous (target) variable. We assume that the relationship between the input variables x and the target variable y can be expressed as a weighted sum of the inputs (i.e., the model is linear in the parameters). In short, linear regression aims to learn a function that maps one or more input features to a single numerical target value. Topics Covered ✅Dataset Exploration ✅Linear Regression Model ✅Neural Network Perspective and Terminology ✅Modeling a Neural Network in Keras ❓FAQ What is Keras regression model? Which Optimizer is best for linear regression? Which deep learning model is best for regression? How to do regression with Keras? Can TensorFlow be used for linear regression? Can neural networks do linear regression? Which deep learning model is best for regression? How to do regression with Tensorflow? ⭐️ Time Stamps:⭐️ 0:00-00:16: Introduction 00:16-01:08: Neural Networks 01:08-02:19: Boston Housing Dataset 02:19-02:40: Printing out the features 02:40-03:27: Data Splitting 03:27-05:51: Explanation 05:40-08:51: Creating a Model using a Neural Network 08:51-12:40: Code implementation 12:40-14:14: Output from the Fit method 14:14-15:28: Predict Method 15:28-17:56: Plot data 17:56-18:21: Conclusion Resources: 📚 Blog post Link: https://learnopencv.com/tensorflow-keras-tutorial-linear-regression/ 🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖 https://opencv.org/courses #️⃣ Connect with Us #️⃣ 📝 Linkedin: https://www.linkedin.com/in/satyamallick/ 📱 Twitter: https://twitter.com/LearnOpenCV 🔊 Facebook: https://www.facebook.com/profile.php?id=100064001437329 📸 Instagram: https://www.instagram.com/learnopencv/ 🔗 Reddit: https://www.reddit.com/user/spmallick 🔖Hashtags🔖 #keras #tensorflow #machinelearning #neuralnetwork #objectdetection #deeplearning #computervision #learnopencv #opencv #tutorial #kerastutorial #tensorflowtutorial