Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)


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.

Github link for code in this tutorial: https://github.com/codebasics/py/blob/master/DeepLearningML/1_digits_recognition/digits_recognition_neural_network.ipynb

Next video: https://www.youtube.com/watch?v=icZItWxw7AI&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=8

Previous video: https://www.youtube.com/watch?v=z-ZR_8BZ1wQ&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=6

Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO

Prerequisites for this series:  
   1: Python tutorials (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0   
   2: Pandas tutorials(first 8 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
   3: Machine learning playlist (first 16 videos): https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw