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TensorFlow Tutorial - Neural Networks with Sequential and Functional API

Offered By: Aladdin Persson via YouTube

Tags

TensorFlow Courses Machine Learning Courses Deep Learning Courses Neural Networks Courses Feature Extraction Courses

Course Description

Overview

Learn how to build neural networks in TensorFlow 2.0 using the Keras Sequential and Functional API in this comprehensive tutorial video. Explore the process of loading the MNIST dataset, implementing both Sequential and Functional API approaches, and extracting output features from specific layers. Gain insights into obtaining model summaries and receive practical suggestions for further experimentation. Suitable for those with a basic understanding of neural networks, this tutorial provides hands-on experience in TensorFlow implementation, complemented by recommended resources for deepening theoretical knowledge.

Syllabus

- Introduction
- Resources for theory
- Imports
- Loading Mnist dataset
- Using Sequential API
- Using Functional API
- Extracting specific layer features
- Suggestions to try out


Taught by

Aladdin Persson

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