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[GigaCourse.com] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python
magnet:?xt=urn:btih:023489e261f71d8d732df009e55d6ff2895bf056&dn=[GigaCourse.com] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python
磁力链接详情
Hash值:
023489e261f71d8d732df009e55d6ff2895bf056
点击数:
294
文件大小:
2.99 GB
文件数量:
61
创建日期:
2021-1-8 15:09
最后访问:
2024-6-3 16:48
访问标签:
GigaCourse
com
Udemy
-
Neural
Networks
ANN
using
Keras
and
TensorFlow
in
Python
文件列表详情
1. Introduction/1. Welcome to the course.mp4 21.42 MB
1. Introduction/2. Introduction to Neural Networks and Course flow.mp4 29.07 MB
10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4 10.8 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 79.14 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 81.71 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 69.93 MB
11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 155.88 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 92.12 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 151.57 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 60.63 MB
15. Add-on 1 Data Preprocessing/1. Gathering Business Knowledge.mp4 22.29 MB
15. Add-on 1 Data Preprocessing/10. Missing Value Imputation in Python.mp4 23.42 MB
15. Add-on 1 Data Preprocessing/11. Seasonality in Data.mp4 17.03 MB
15. Add-on 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 100.42 MB
15. Add-on 1 Data Preprocessing/13. Variable transformation and deletion in Python.mp4 44.08 MB
15. Add-on 1 Data Preprocessing/14. Non-usable variables.mp4 20.24 MB
15. Add-on 1 Data Preprocessing/15. Dummy variable creation Handling qualitative data.mp4 36.83 MB
15. Add-on 1 Data Preprocessing/16. Dummy variable creation in Python.mp4 26.54 MB
15. Add-on 1 Data Preprocessing/17. Correlation Analysis.mp4 71.6 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis in Python.mp4 55.31 MB
15. Add-on 1 Data Preprocessing/2. Data Exploration.mp4 20.51 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 69.38 MB
15. Add-on 1 Data Preprocessing/4. Importing Data in Python.mp4 27.83 MB
15. Add-on 1 Data Preprocessing/5. Univariate analysis and EDD.mp4 24.2 MB
15. Add-on 1 Data Preprocessing/6. EDD in Python.mp4 61.78 MB
15. Add-on 1 Data Preprocessing/7. Outlier Treatment.mp4 24.48 MB
15. Add-on 1 Data Preprocessing/8. Outlier Treatment in Python.mp4 70.23 MB
15. Add-on 1 Data Preprocessing/9. Missing Value Imputation.mp4 25.01 MB
16. Add-on 2 Classic ML models - Linear Regression/1. The Problem Statement.mp4 9.38 MB
16. Add-on 2 Classic ML models - Linear Regression/10. Test-train split.mp4 41.87 MB
16. Add-on 2 Classic ML models - Linear Regression/11. Bias Variance trade-off.mp4 25.11 MB
16. Add-on 2 Classic ML models - Linear Regression/12. Test train split in Python.mp4 44.87 MB
16. Add-on 2 Classic ML models - Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 43.35 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 92.14 MB
16. Add-on 2 Classic ML models - Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp4 43.63 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 63.43 MB
16. Add-on 2 Classic ML models - Linear Regression/6. Multiple Linear Regression.mp4 34.32 MB
16. Add-on 2 Classic ML models - Linear Regression/7. The F - statistic.mp4 56.01 MB
16. Add-on 2 Classic ML models - Linear Regression/8. Interpreting results of Categorical variables.mp4 22.51 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 69.74 MB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 16.26 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 65.18 MB
2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4 40.91 MB
2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4 12.75 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 64.43 MB
2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 60.33 MB
2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 43.87 MB
2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4 46.89 MB
2. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4 40.36 MB
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 44.76 MB
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 34.62 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 86.6 MB
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 40.42 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 60.33 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 122.2 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 62.17 MB
6. Standard Model Parameters/1. Hyperparameters.mp4 45.35 MB
8. Tensorflow and Keras/1. Keras and Tensorflow.mp4 14.92 MB
8. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4 20.07 MB
9. Python - Dataset for classification problem/1. Dataset for classification.mp4 56.13 MB
9. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4 44.2 MB
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