Be Brave, Be Humble

Sequential API In [ ]: import tensorflow as tf from tensorflow.keras.models import Sequential, Model from tensorflow.keras.layers import Input, Dense, Flatten from tensorflow.keras.optimizers import SGD import numpy as np In [ ]: # Data load data = np.loadtxt('./TF2_Example_1.csv', delimiter=',', dtype=np.float32) print(data, data.shape) [[ 1. 2. 0. -4.] [ 5. 4. 3. 4.] [ 1. 2. -1. -6.] [ 3. 1. 0..

This repo is an AI intermediate course-level curriculum. In the beginning, It directly implements algorithms of Machine Learning and Deep Learning. ex) Understanding and implementing algorithms for linear regression / logistic regression / loss function / gradient descent In the middle section deals with the deep learning architecture and feed-forward and learn the deep learning framework using ..