7 Linear Regression Example Revisited скачать в хорошем качестве

7 Linear Regression Example Revisited

Video summary [00:00:00] - [00:03:00]: This video explains how to build and train a neural network architecture using TensorFlow. It covers the steps of defining the inputs, weights, biases, and activation functions, computing the loss function, and optimizing the weights and biases using gradient descent. Highlights: [00:00:00] The TensorFlow computation graph An example of predicting house prices Multiplying inputs with weights and adding biases Getting the prediction as the output [00:00:33] The neural network architecture Similar to the computation graph Summing up the inputs and weights and adding the bias Applying an activation function like sigmoid or tanh [00:01:03] The neural network learning Computing the loss or error or cost Minimizing the loss function using gradient descent Updating the weights and biases iteratively [00:02:14] The linear regression example Revisiting the TensorFlow code from the previous session Showing the prediction, cost, and optimizer functions Using squared errors and gradient descent optimizer ----------------------------------------------------------------------------- Playlist for TensorFlow Series 1 & 2: 1.    • Tensorflow Getting Started   2. 1 Back to Tensors Prerequisites for this series: 1: Data Science & Machine Learning Using Python:    • Data Science Introduction   2: Python for Data Science: Python for Data Science: 1. Quick Tour Colab 3: Machine learning with Python: What Is Python? ----------------------------------------------------------------------------- What you get in this Playlist: Good resources to learn TensorFlow, Tensorflow Training Data, Deep Learning Applications, Tensorflow tutorial, Deep Learning tutorials, TensorFlow tutorial for beginners, deep learning tutorials for beginners, Tensorflow Courses, How to Install Tensorflow, Deep Neural Network, Artificial Intelligence ----------------------------------------------------------------------------- 🌎 Visit our website for hands-on courses with 2 Guided Capstone Projects: https://unp.education/ ----------------------------------------------------------------------------- Need help training your institute faculty or recruited employees? We have proven experience in providing tailored Data Science, Machine Learning and Deep Learning Courses for Faculty training or Corporate employee upskilling. Contact us to discuss more. ----------------------------------------------------------------------------- Contact info: Call/WhatsApp: +91 700135 3002 Email: reachout@unp.education Instagram:   / unp_education   LinkedIn:-   / uninetprof   ----------------------------------------------------------------------------- #deeplearningwithpython #deeplearning #deeplearningtensorflow #deeplearningtutorialpython #deeplearningtutorial #deeplearningbegininer