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Summary here
Module · 6 lessons
Deep Learning with TensorFlow
Build the same deep networks with TensorFlow and the Keras Sequential and Functional APIs.
At a glance
Level
Advanced
Lessons
6 lessons
Time to complete
2–3 weeks
Cost
Free forever · no sign-up
TensorFlow with Keras is the other leading deep learning framework. This module mirrors the PyTorch track so you can compare the two: you will learn TensorFlow operations, build models with the Sequential and Functional APIs, and train deep networks with callbacks.
Lessons in this module
1
Deep Learning Fundamentals
Understand what deep learning is, why frameworks like TensorFlow and Keras exist, and how the high-level training loop works
2
Introduction to TensorFlow Operations
Learn how TensorFlow represents data as tensors and how to compute with them, using real Indian IPO data
3
Building a Shallow Neural Network with the Sequential API
Build your first neural network in TensorFlow with the Keras Sequential API: Dense layers, activations, input shape, model.summary(), and compile()
4
Multi-Layer Deep Learning Models
Build, train, and regularize deeper Keras models with the Sequential API on a real Indian IPO dataset
5
Deep Learning with the Keras Functional API
Learn the Keras functional API and build a branching neural network classifier on the real Indian IPO dataset
6
Guided Project: Predicting IPO Listing Gains with TensorFlow
Build an end-to-end TensorFlow/Keras classifier on real Indian IPO data and learn why deep learning does not always beat a simple baseline
Achievement
Complete all 6 lessons to finish the Deep Learning with TensorFlow module.