TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)

preview_player
Показать описание
New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework!

Part 05: Convolutional Neural Network

In this part we build our first convolutional neural network using the keras Sequential API. We learn how to build a model, how to train and evaluate the model, and how to make predictions with the model.

~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~

Get my Free NumPy Handbook:

🚀🚀 Get exclusive content on Patreon: 🚀🚀

If you enjoyed this video, please subscribe to the channel!

Course material is available on GitHub:

Softmax + Crossentropy:

CNN PyTorch:

Deep Learning Fundamentals playlist (deeplizard channel):

Links:

🚀🚀 JOIN MY NEWSLETTER 🚀🚀

You can find me here:

#Python

Course Parts:
01 TensorFlow Installation
02 TensorFlow Tensor Basics
03 TensorFlow Neural Net
04 TensorFlow Linear Regression
05 TensorFlow CNN (Convolutional Neural Nets)
06 TensorFlow Save & Load Models
07 TensorFlow Functional API
08 TensorFlow Multi-output Project
09 TensorFlow Transfer Learning
10 TensorFlow RNN / LSTM / GRU
11 TensorFlow NLP

TensorFlow 2, Keras, Deep Learning, TensorFlow Course, TensorFlow Beginner Course, TensorFlow Tutorial

----------------------------------------------------------------------------------------------------------
* This is a sponsored link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏
Рекомендации по теме
Комментарии
Автор

You simply saved my graduation in 11 minutes. I love you man.

remor
Автор

Great as always. A few questions though:
1) Is there a difference between setting the output's layer to softmax and setting 'from_logits=True' when defining the loss?
2) Is it possible to make a video about deciding which model to choose or how to build it gradually and choosing its hyperparameter? Obviously each dataset has its own complexity and requires different architectures and hyperparameters. I mean a video that gives intuition of how to build a suitable model for a specific dataset from scratch.

tamirshalev
Автор

Hi, Can you explain why do use the value of 64 in the Dense function ?

eranfeit
Автор

Sir, this is keras or not able too understand that what is difference between tensorFlow and keras.... I have learnt this in keras...but my person are saying that keras is different.... there is no value of keras... But when I joined tensorFlow course again I saw they taught keras🤯🤯.. u r also teaching keras.... I'm confuse what is keras and tensorFlow... Person says keras is wrapper on tensorFlow...what does it mean....🥺🥺...pls explain me sir what is the difference between them and what is difference between there coding structure...coding seems like same in both🥺..peoples are teaching keras but they named it as tensorFlow...I'm confuse🥺

shivamrana
Автор

What's the name of your IDE theme in this video?

silicondecay
Автор

please activate the subtitles for this video

progra_kun