TensorFlow Tutorial 3 - Neural Networks with Sequential and Functional API

In this video we will cover how to build a neural network in TensorFlow 2.0 using the Keras Sequential and Functional API. We also take a look at other details like how we obtain the output features from specific layers and obtaining summaries of the model etc.

Resources or prerequisite videos:
1. 3Blue1Brown:
https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

2. Deep Learning Specialization Course 1 (Probably don't need to watch all):
https://www.youtube.com/playlist?list=PLkDaE6sCZn6Ec-XTbcX1uRg2_u4xOEky0

2. Deep Learning Specialization Course 2 (Probably don't need to watch all):
https://www.youtube.com/playlist?list=PLkDaE6sCZn6Hn0vK8co82zjQtt3T2Nkqc

I learned a lot and was inspired to make these TensorFlow videos by the TensorFlow Specialization on Coursera. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
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OUTLINE:
0:00 - Introduction
0:40 - Resources for theory
1:06 - Imports
3:13 - Loading Mnist dataset
5:56 - Using Sequential API
14:10 - Using Functional API
17:20 - Extracting specific layer features
19:53 - Suggestions to try out

Видео TensorFlow Tutorial 3 - Neural Networks with Sequential and Functional API канала Aladdin Persson