4.27 GB | 15min 12s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
1 - Welcome to the World of TensorFlow.mp4 (35.04 MB)
2 - Introduction to the Course.mp4 (13.36 MB)
4 - What is Artificial Intelligence.mp4 (134.47 MB)
5 - Python Data Science Environment.mp4 (93.57 MB)
6 - For Mac Users.mp4 (49.97 MB)
7 - Introduction to IPython.mp4 (100.12 MB)
8 - IPython in Browser.mp4 (18.14 MB)
9 - Install Tensorflow.mp4 (188.34 MB)
69 - Use Colabs for Jupyter Data Science.mp4 (57.38 MB)
70 - Colab GPU.mp4 (49.12 MB)
71 - Introduction To Github.mp4 (33.4 MB)
11 - A Brief Touchdown.mp4 (20.94 MB)
12 - A Brief Touchdown Computational Graphs.mp4 (6.38 MB)
14 - A Tensorflow Session.mp4 (20.77 MB)
15 - Interactive Tensorflow Session.mp4 (6.09 MB)
16 - Constants and Variables in Tensorflow.mp4 (14.39 MB)
17 - Placeholders in Tensorflow.mp4 (35.71 MB)
18 - TensorBoard Visualize Graphs in TensorFlow.mp4 (13.35 MB)
19 - Access TensorBoard Graphs.mp4 (14.37 MB)
20 - Miscellaneous Python Packages for Data Science.mp4 (36.25 MB)
21 - Introduction to Numpy.mp4 (31.03 MB)
22 - Create Numpy Arrays.mp4 (43.66 MB)
23 - Numpy Operations.mp4 (86.18 MB)
24 - Numpy for Statistical Operation.mp4 (39.48 MB)
25 - Introduction to Pandas.mp4 (83.94 MB)
26 - Read in Data from CSV.mp4 (59.2 MB)
27 - Read in Excel Data.mp4 (47.35 MB)
28 - Basic Data Cleaning.mp4 (28.67 MB)
29 - Convert to Tensor Objects.mp4 (80.18 MB)
30 - Correlation Analysis.mp4 (63.2 MB)
31 - Linear RegressionTheory.mp4 (65.37 MB)
32 - Linear Regression From First Principles With Tensorflow.mp4 (58.84 MB)
33 - Visualize the Results of OLS.mp4 (19.61 MB)
34 - Multiple Regression With TensorflowPart 1.mp4 (51.58 MB)
35 - Multiple Regression With TensorflowMachine Learning Approach.mp4 (34.88 MB)
36 - Estimate With Tensorflow Estimators.mp4 (7.24 MB)
37 - Multiple Regression With Tensorflow Estimators.mp4 (63.76 MB)
38 - More on Linear Regressor Estimator.mp4 (106.55 MB)
39 - GLM Generalized Linear Model.mp4 (21.84 MB)
40 - Linear Classifier For Binary Classification.mp4 (150.04 MB)
41 - Accuracy Assessment For Binary Classification.mp4 (109.83 MB)
42 - Linear Classification with Binary Classification With Mixed Predictors.mp4 (64.29 MB)
43 - Introduction.mp4 (33.86 MB)
44 - What is Machine Learning.mp4 (43.11 MB)
45 - What is Unsupervised Learning.mp4 (13.98 MB)
46 - KMeans ClusteringTheory.mp4 (8.11 MB)
47 - Implement KMeans on Real Data.mp4 (37.98 MB)
48 - Softmax Classification.mp4 (77.69 MB)
49 - Random Forest RF for Binary Classification.mp4 (103.49 MB)
50 - Random Forest RF for Multiclass Classification.mp4 (63.62 MB)
51 - kNN Classification.mp4 (24.94 MB)
52 - Introduction to Artificial Neural Networks ANN.mp4 (135.74 MB)
53 - Multi Layer Perceptron MLP.mp4 (70.01 MB)
54 - Deep Neural Network DNN Classifier.mp4 (69.08 MB)
55 - Deep Neural Network DNN Classifier With Mixed Predictors.mp4 (115.63 MB)
56 - Deep Neural Network DNN Regression.mp4 (68.38 MB)
57 - Wide and Deep Learning.mp4 (172.11 MB)
58 - Autoencoders Theory.mp4 (8.12 MB)
59 - Autoencoders for Credit Card Fraud Detection.mp4 (79.76 MB)
60 - Autoencoders for Multiple Classes.mp4 (63.51 MB)
61 - Introduction to CNN.mp4 (182.76 MB)
62 - Implement a CNN for MultiClass Supervised Classification.mp4 (56.48 MB)
63 - Activation Functions.mp4 (27.93 MB)
64 - More on CNN.mp4 (53.52 MB)
65 - PreRequisite For Working With Imagery Data.mp4 (30.86 MB)
66 - CNN on Image Data.mp4 (123.26 MB)
67 - More on TFLearn.mp4 (73.91 MB)
68 - Autoencoders with CNN.mp4 (74.83 MB)]
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