Intelligent Robot

Tensorflow Tutorials using Jupyter Notebook TensorFlow tutorials written in Python (of course) with Jupyter Notebook. Tried to explain as kindly as possible, as these tutorials are intended for TensorFlow beginners. Hope these tutorials to be a useful recipe book for your deep learning projects. Enjoy coding! :) Contents Basics of TensorFlow / MNIST / Numpy / Image Processing / Generating Custom..

1강 Deep Learning & PyTorch 파이썬 기초 프레임워크 비교 파이토치 기본 사용법 2강 Linear Regression & Neural Network Automatic Gradient Calculation 시각화 툴 Visdom 소개 선형회귀모델 선형회귀모델의 한계 인공신경망 모델 - 2차함수근사 인공신경망 모델 - 3차함수근사 인공신경망 모델 - 2D데이터 3강 Convolutional Neural Network - Basic CNN 기본 모듈 NN으로 MNIST 풀어보기 CNN으로 MNIST 풀어보기 CNN으로 CIFAR10 풀어보기 4강 Convolutional Neural Network - Advanced Custom Data 불러오기 VGGNet 구현해보기 GoogLeNet 구현..

Advanced Deep Learning with TensorFlow 2 and Keras (Updated for 2nd Edition) This is the code repository for Advanced Deep Learning with TensorFlow 2 and Keras, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish. Please note that the code examples have been updated to support TensorFlow 2.0 Keras API only. About the Book Advan..