freeCodeCamp/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/neural-networks-with-tensorflow.md

---
id: 5e8f2f13c4cdbe86b5c72d92
title: Neural Networks with TensorFlow
challengeType: 11
videoId: uisdfrNrZW4
dashedName: neural-networks-with-tensorflow
---

# --question--

## --text--

A densely connected neural network is one in which...:

## --answers--

all the neurons in the current layer are connected to one neuron in the previous layer.

---

all the neurons in each layer are connected randomly.

---

all the neurons in the current layer are connected to every neuron in the previous layer.

## --video-solution--

3
fix: QA/Infosec update and python to chinese 2020-08-13 12:00:20 +02:00			`---`
			`id: 5e8f2f13c4cdbe86b5c72d92`
chore(i8n,learn): processed translations 2021-02-06 04:42:36 +00:00			`title: Neural Networks with TensorFlow`
fix: QA/Infosec update and python to chinese 2020-08-13 12:00:20 +02:00			`challengeType: 11`
			`videoId: uisdfrNrZW4`
feat(curriculum): restore seed + solution to Chinese (#40683) * feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com> 2021-01-13 03:31:00 +01:00			`dashedName: neural-networks-with-tensorflow`
fix: QA/Infosec update and python to chinese 2020-08-13 12:00:20 +02:00			`---`

chore(learn): Applied MDX format to Chinese curriculum files (#40462) 2020-12-16 00:37:30 -07:00			`# --question--`

			`## --text--`

			`A densely connected neural network is one in which...:`

			`## --answers--`

			`all the neurons in the current layer are connected to one neuron in the previous layer.`

			`---`

			`all the neurons in each layer are connected randomly.`

			`---`

			`all the neurons in the current layer are connected to every neuron in the previous layer.`

			`## --video-solution--`

			`3`