Neural Network Sinus Function Approximation

Summary

import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import time # Generate training data x_train ... from sklearn.preprocessing import MinMaxScaler from sklearn.metrics import mean_squared_error from keras.models import ... Recorded with screencast-o-matic.com More details here: ... Backpropagation is a method to obtain a gradient estimate for the weights and biases in a In this video, we delve into the fascinating intersection of mathematics and artificial intelligence by exploring how Training algorithm: Gradient Descent with backpropagation. Momentum: used Activation For an introduction to artificial Reverse-Mode Automatic Differentiation (the generalization of the backward pass) is one of the magic ingredients that makes ... I suggest watching on a slower speed or else it's just pure chaos. red color adam optimizer blue color sgd optimizer.