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YouTube

TensorFlow.js - Intelligence and Learning

Coding Train via YouTube

Overview

This course on TensorFlow.js focuses on teaching learners the fundamentals of TensorFlow.js, including tensors, variables, operations, memory management, and the Layers API. Through coding challenges like Linear Regression, Polynomial Regression, and solving the XOR Problem, students will gain hands-on experience applying these concepts. The course adopts a practical teaching method, combining theoretical explanations with coding challenges to enhance understanding. This course is intended for individuals interested in machine learning, artificial intelligence, and web development, particularly those looking to leverage TensorFlow.js for building intelligent applications.

Syllabus

6.1: Introduction to TensorFlow.js - Intelligence and Learning.
6.2: TensorFlow.js: Tensors - Intelligence and Learning.
6.3: TensorFlow.js: Variables & Operations - Intelligence and Learning.
6.4: TensorFlow.js: Memory Management - Intelligence and Learning.
Coding Challenge #104: Linear Regression with TensorFlow.js.
Coding Challenge #105: Polynomial Regression with TensorFlow.js.
6.5: TensorFlow.js: Layers API Part 1 - Intelligence and Learning.
6.6: TensorFlow.js: Layers API Part 2 - Intelligence and Learning.
Coding Challenge #106: XOR Problem with TensorFlow.js.

Taught by

The Coding Train

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