Google-Explore-ML-Deep-Learning
所属分类：人工智能/神经网络/深度学习
开发工具：Jupyter Notebook
文件大小：0KB
下载次数：0
上传日期：2019-10-10 07:35:27
上 传 者：
sh-1993
说明： BITS Pilani Goa校区Google Explore ML计划的深度学习课程笔记本存储库。此内容既不是创建的...，
(Repository of Notebooks for Deep Learning courses with Google Explore ML Program at BITS Pilani Goa Campus.This content is neither created nor endorsed by Google.)
文件列表:
.ipynb_checkpoints/ (0, 2019-10-10)
.ipynb_checkpoints/2_2_Assignment_Polynomial_Regression-checkpoint.ipynb (306143, 2019-10-10)
0-Data-ML/ (0, 2019-10-10)
0-Data-ML/Lec-1.pdf (865435, 2019-10-10)
0-Data-ML/Lec-1.pptx (2530417, 2019-10-10)
1-Intro-to-Deep-Learning/ (0, 2019-10-10)
1-Intro-to-Deep-Learning/.ipynb_checkpoints/ (0, 2019-10-10)
1-Intro-to-Deep-Learning/.ipynb_checkpoints/1_1_Linear_Regression-checkpoint.ipynb (274576, 2019-10-10)
1-Intro-to-Deep-Learning/.ipynb_checkpoints/1_2_1_Assignment_Polynomial_Regression-checkpoint.ipynb (33833, 2019-10-10)
1-Intro-to-Deep-Learning/.ipynb_checkpoints/1_2_2_Assignment_Polynomial_Regression_Solution-checkpoint.ipynb (686114, 2019-10-10)
1-Intro-to-Deep-Learning/.ipynb_checkpoints/1_3_Logistic_Regression-checkpoint.ipynb (834896, 2019-10-10)
1-Intro-to-Deep-Learning/.ipynb_checkpoints/1_4_1_MultiClass_Classification-checkpoint.ipynb (17620, 2019-10-10)
1-Intro-to-Deep-Learning/.ipynb_checkpoints/1_4_2_MultiClass_Classification_Solution-checkpoint.ipynb (59529, 2019-10-10)
1-Intro-to-Deep-Learning/.ipynb_checkpoints/1_5_Motivation_for_Multi_Layer_Perceptron-checkpoint.ipynb (1465954, 2019-10-10)
1-Intro-to-Deep-Learning/1_1_Linear_Regression.ipynb (274576, 2019-10-10)
1-Intro-to-Deep-Learning/1_2_1_Assignment_Polynomial_Regression.ipynb (33833, 2019-10-10)
1-Intro-to-Deep-Learning/1_2_2_Assignment_Polynomial_Regression_Solution.ipynb (686114, 2019-10-10)
1-Intro-to-Deep-Learning/1_3_Logistic_Regression.ipynb (834896, 2019-10-10)
1-Intro-to-Deep-Learning/1_4_1_MultiClass_Classification.ipynb (17620, 2019-10-10)
1-Intro-to-Deep-Learning/1_4_2_MultiClass_Classification_Solution.ipynb (59529, 2019-10-10)
1-Intro-to-Deep-Learning/1_5_Motivation_for_Multi_Layer_Perceptron.ipynb (1465954, 2019-10-10)
2-Deep-Neural-Networks/ (0, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/ (0, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/2_1_Deep_Neural_Networks_Architecture-checkpoint.ipynb (880806, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/2_2_Batch_Training-checkpoint.ipynb (415807, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/2_3_Optimizers-checkpoint.ipynb (1102296, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/2_4_Learning_Rate-checkpoint.ipynb (701181, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/2_5_Bias_Variance-checkpoint.ipynb (509598, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/2_6_Overfitting_Regularization-checkpoint.ipynb (322116, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/2_7_ANN_Medical_Diagnosis-checkpoint.ipynb (107762, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/2_8_ANN_Computer_Vision-checkpoint.ipynb (315655, 2019-10-10)
2-Deep-Neural-Networks/.ipynb_checkpoints/2_9_ANN_Natural_Language_Processing-checkpoint.ipynb (23540, 2019-10-10)
2-Deep-Neural-Networks/2_1_Deep_Neural_Networks_Architecture.ipynb (880806, 2019-10-10)
2-Deep-Neural-Networks/2_2_Batch_Training.ipynb (415807, 2019-10-10)
2-Deep-Neural-Networks/2_3_Optimizers.ipynb (1102296, 2019-10-10)
2-Deep-Neural-Networks/2_4_Learning_Rate.ipynb (701181, 2019-10-10)
2-Deep-Neural-Networks/2_5_Bias_Variance.ipynb (509598, 2019-10-10)
2-Deep-Neural-Networks/2_6_Overfitting_Regularization.ipynb (322116, 2019-10-10)
2-Deep-Neural-Networks/2_7_ANN_Medical_Diagnosis.ipynb (107762, 2019-10-10)
2-Deep-Neural-Networks/2_8_ANN_Computer_Vision.ipynb (315655, 2019-10-10)
... ...
```
MIT License
Copyright (c) 2019 Shangeth Rajaa
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```
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