Deep Learning for JavaScript Hackers - Use TensorFlow.js in the Browser
Offered By: YouTube
Course Description
Overview
Dive into deep learning using TensorFlow.js in the browser through this comprehensive 4.5-hour course. Begin with an introduction to TensorFlow.js, then explore logistic regression, including exploratory data analysis and data preprocessing. Apply these concepts to predict diabetes using logistic regression. Progress to linear regression, covering data preprocessing and implementation. Gain insights into neural networks and their applications in machine learning. Conclude by creating ToDo list embeddings using TensorFlow in JavaScript, providing practical experience in applying deep learning techniques.
Syllabus
Getting Started with TensorFlow.js | Deep Learning for JavaScript Hackers (Part 0).
Logistic Regression with TensorFlow.js: EDA | Deep Learning for JavaScript Hackers (Part 1).
Data preprocessing with TensorFlow.js for Logistic Regression | Deep Learning for JavaScript Hackers.
Predicting Diabetes with Logistic Regression in TensorFlow.js | Deep Learning for JavaScript Hackers.
Data Preprocessing for Linear Regression with TensorFlow.js.
Linear Regression with TensorFlow.js.
What is a Neural Network? | Machine Learning for JavaScript Hackers with TensorFlow.js.
ToDo list Embeddings with TensorFlow in JavaScript.
Taught by
Venelin Valkov
Related Courses
Activity Recognition using Python, Tensorflow and KerasCoursera Project Network via Coursera Post Graduate Certificate in Advanced Machine Learning & AI
Indian Institute of Technology Roorkee via Coursera Advanced Computer Vision with TensorFlow
DeepLearning.AI via Coursera Advanced Deployment Scenarios with TensorFlow
DeepLearning.AI via Coursera Advanced Learning Algorithms
DeepLearning.AI via Coursera