Watch 23: Basic training loops | TensorFlow | Tutorial Video Tutorial


Tutorial Details & Info

Tutorial Title: 23: Basic training loops | TensorFlow | Tutorial
Instructor / Channel: learndataa
Lesson Runtime: 42:32 Minutes
Publish Date: October 16, 2022
Total Students / Views: 411 views

Master the concepts in 23: Basic training loops | TensorFlow | Tutorial presented by learndataa. This full video course has a total duration of 42:32 minutes with crystal clear HD video and audio quality. Access this full online lesson without any subscription or sign-up required.

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Course Description & Lesson Notes

Official Video Description:

The video discusses in TensorFlow: How to build a simple linear model? 00:00 - Import libraries 00:51 - colors: plt.rcParams 02:15 - Steps: Solving machine learning model 05:00 - Data 08:44 - Define the model 12:16 - Define a loss function 13:10 - Plot predictions 16:16 - Define a training loop: outline 17:45 - Define a training loop: using tf.GradientTape() 19:42 - Define a training loop: run model, history 24:44 - Define a training loop: train model 28:45 - Plot weights, and bias for epochs 31:20 - Plot predictions 34:25 - Keras: create model 36:46 - Keras: train model 37:50 - Keras: save model 38:35 - Keras: compile model 40:40 - Keras: fit compiled model and run 41:40 - Ending notes # ---------------- # TensorFlow Guide # ---------------- https://www.tensorflow.org/guide/basic_training_loops

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for 23: Basic training loops | TensorFlow | Tutorial taught by learndataa. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for 23: Basic training loops | TensorFlow | Tutorial.
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