Published On Premiered Jul 18, 2020
In this video we will build our first neural network in tensorflow and python for handwritten digits classification. We will first build a very simple neural network with only input and output layer. After that we will add a hidden layer and check how the performance of our model changes.
đ Hashtags đ
#handwrittendigitrecognition #tensorflowtutorial #handwritingrecognition #mnisttensorflowtutorial
Do you want to learn technology from me? Check https://codebasics.io/?utm_source=des... for my affordable video courses.
Github link for code in this tutorial: https://github.com/codebasics/deep-le...
Next video:    â˘Â Activation Functions | Deep Learning ... Â
Previous video:    â˘Â Pytorch vs Tensorflow vs Keras | Deep... Â
Deep learning playlist:    â˘Â Deep Learning With Tensorflow 2.0, Ke... Â
Prerequisites for this series:Â Â
1: Python tutorials (first 16 videos):Â https://www.youtube.com/playlist?list... Â
2: Pandas tutorials(first 8 videos):    â˘Â Pandas Tutorial (Data Analysis In Pyt... Â
3: Machine learning playlist (first 16 videos):Â https://www.youtube.com/playlist?list...
đ My Website For Video Courses: https://codebasics.io/?utm_source=des...
Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.
#ď¸âŁ Social Media #ď¸âŁ
đ Discord:   / discord Â
đ¸ Dhaval's Personal Instagram:   / dhavalsays Â
đ¸ Codebasics Instagram:   / codebasicshub Â
đ Facebook:   / codebasicshub Â
đą Twitter:   / codebasicshub Â
đ Linkedin (Personal):   / dhavalsays Â
đ Linkedin (Codebasics):   / codebasics Â
đ Patreon: https://www.patreon.com/codebasics?fa...