Course curriculum

    1. Introduction

    2. Course Outline

    1. Module Introduction

    2. Overview

    3. Deep Learning in Recommendation systems

    4. Inference After Training

    5. Inference Mechanism

    6. Embeddings and User Context

    7. Neutral Collaborative Filtering

    8. VAE Collaborative Filtering

    9. Strengths and Weaknesses of DL Models

    10. Deep Learning Quiz

    11. Deep Learning Quiz Solution

    1. Module Overview

    2. TensorFlow Recommenders

    3. Two Tower Model

    4. Project Overview

    5. Download Libraries

    6. Data Visualization with WordCloud

    7. Make Tensors from DataFrame

    8. Rating Our Data

    9. Random Train-Test Split

    10. Making the Model and Query Tower

    11. Candidate Tower and Retrieval System

    12. Compute Loss

    13. Train and Validation

    14. Accuracy vs Recommendations

    15. Making Recommendations

About this course

  • $199.99
  • 28 lessons
  • 2 hours of video content