Tensorflow Deep Learning – Data Science in Python

سرفصل های دوره

Tensorflow Deep Learning Python : Tensorflow Neural Network Training : Tensorflow Models - Android Java : Tensorflow C#

1 - INTRODUCTION TO TENSORFLOW The Key Concepts and Software Tools

1 - Welcome to the World of TensorFlow

2 - Introduction to the Course

3 - Data and Scripts For the Course.html

4 - What is Artificial Intelligence

5 - Python Data Science Environment

6 - For Mac Users

7 - Introduction to IPython

8 - IPython in Browser

9 - Install Tensorflow

10 - Written Tensorflow Installation Instructions.html

2 - Introduction to TensorFlow

11 - A Brief Touchdown

12 - A Brief Touchdown Computational Graphs

13 - Common Mathematical Operators in Tensorflow.html

14 - A Tensorflow Session

15 - Interactive Tensorflow Session

15 - Lecture-18-interactive-session.txt

15 - lecture-14-interactive.txt

16 - Constants and Variables in Tensorflow

16 - Lecture-19-constant-var.txt

17 - Lecture-21-place.txt

17 - Placeholders in Tensorflow

18 - TensorBoard Visualize Graphs in TensorFlow

19 - Access TensorBoard Graphs

3 - Other Python Packages and Their Interaction with Tensorflow

20 - Miscellaneous Python Packages for Data Science

21 - Introduction to Numpy

22 - Create Numpy Arrays

22 - numpy-create.txt

23 - Numpy Operations

23 - numpy-op.txt

24 - Numpy for Statistical Operation

24 - numpy-stats.txt

25 - Introduction to Pandas

26 - Read in Data from CSV

26 - Resp2.csv

26 - bostonTxt.txt

26 - read-csv-pd.txt

26 - winequality-red.csv

27 - Read in Excel Data

27 - boston1.xls

27 - read-excel-pd.txt

28 - Basic Data Cleaning

29 - Convert to Tensor Objects

4 - Statistical Modelling with Tensorflow

30 - Correlation Analysis

31 - Linear RegressionTheory

32 - Linear Regression From First Principles With Tensorflow

32 - ols-reg.txt

33 - Lecture-32-Viz.txt

33 - Visualize the Results of OLS

34 - Lecture-33-ML-Reg.txt

34 - Multiple Regression With TensorflowPart 1

35 - Multiple Regression With TensorflowMachine Learning Approach

36 - Estimate With Tensorflow Estimators

37 - Multiple Regression With Tensorflow Estimators

38 - More on Linear Regressor Estimator

38 - linear-regressor-csv-data.txt

38 - listings.csv

39 - GLM Generalized Linear Model

40 - Linear Classifier For Binary Classification

40 - creditcard.csv

40 - linear-classifier-python.txt

41 - Accuracy Assessment For Binary Classification

42 - Linear Classification with Binary Classification With Mixed Predictors

42 - Linear-classifier-mixed-pred.txt

42 - titanic.csv

5 - Introduction to Machine Learning

43 - Introduction

44 - What is Machine Learning

6 - Unsupervised Learning

45 - What is Unsupervised Learning

46 - KMeans ClusteringTheory

47 - Implement KMeans on Real Data

47 - hw-data.txt

47 - kmeans-hw.txt

7 - Supervised Learning

48 - Softmax Classification

48 - softmax.txt

49 - Random Forest RF for Binary Classification

49 - random-forest-binary.txt

49 - titanic.csv

50 - Random Forest RF for Multiclass Classification

51 - kNN Classification

51 - knn-class.txt

8 - Artificial Neural Networks and Deep Learning with Tensorflow

52 - Introduction to Artificial Neural Networks ANN

53 - Multi Layer Perceptron MLP

53 - mlp-mnist.txt

54 - Deep Neural Network DNN Classifier

54 - Iris.csv

54 - dnnclass.txt

55 - Deep Neural Network DNN Classifier With Mixed Predictors

55 - dnnclass-titanic.txt

55 - titanic.csv

56 - Deep Neural Network DNN Regression

56 - dnnreg.txt

57 - Wide and Deep Learning

57 - adult.csv

57 - dnn-wide-deep.txt

58 - Autoencoders Theory

59 - Autoencoders for Credit Card Fraud Detection

59 - autoencoder-binary.txt

59 - creditcard.csv

60 - Autoencoders for Multiple Classes

60 - sec8-lect61.txt

9 - Convolution Neural Network CNN For Image Analysis

61 - Introduction to CNN

62 - Implement a CNN for MultiClass Supervised Classification

62 - cnn1.txt

63 - Activation Functions

64 - More on CNN

65 - PreRequisite For Working With Imagery Data

65 - cnn-image.txt

66 - CNN on Image Data

66 - cnn-cat-dog.txt

67 - More on TFLearn

67 - sec9-lect68.txt

68 - Autoencoders with CNN

68 - sec9-lect69.txt

10 - Miscellaneous Section

69 - Use Colabs for Jupyter Data Science

69 - colab.txt

70 - Colab GPU

71 - Introduction To Github

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تولید کننده: Udemy-Training