價格：免費
更新日期：2019-02-05
檔案大小：3.0M
目前版本：1.0
版本需求：Android 4.1 以上版本
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Email：contact@sikapps.com
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★ Table of Contents ★
1) Welcome
2) Introduction To TensorFlow
3) TensorFlow's Hello World
4) Tensors, Variables And Placeholders
5) Linear Regression With TensorFlow
6) Logistic Regression
7) Activation Functions
8) Introduction To Convolutional Networks
9) Convolution And Feature Learning
10) Convolution With Python And TensorFlow
11) The MNIST Database
12) Multilayer Perceptron With TensorFlow
13) Convolutional Network With TensorFlow
14) The Sequential Problem
15) The Recurrent Neural Network Model
16) The Long Short Term Memory Model
17) Recursive Neural Tensor Networks
18) Applying Recurrent Networks To Language Modelling
19) Introduction To Unsupervised Learning
20) RBMs And Autoencoders
21) Initializing A Restricted Boltzmann Machine
22) Training A Restricted Boltzmann Machine
23) Recommendation System With A Restrictive Boltzmann Machine
24) Introduction To Autoencoders
25) Autoencoder Structure
26) Autoencoders With TensorFlow
27) Deep Belief Networks
28) Course Summary
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