6 GB | 00:12:19 | mp4 | 1920X1080  | 16:9
Genre:eLearning |Language:English

Files Included :
1 - Promo Highlights  (285.91 MB)
10 - Basics of Deep Learning N Dimensional Space  (10.32 MB)
11 - Basics of Deep Learning Theory of Perceptron  (4.4 MB)
12 - Basics of Deep Learning Implementing Basic Perceptron  (17.54 MB)
13 - Basics of Deep Learning Logical Gates for Perceptrons  (8.07 MB)
14 - Basics of Deep Learning Perceptron Training Part 1  (3.18 MB)
15 - Basics of Deep Learning Perceptron Training Part 2  (12.94 MB)
16 - Basics of Deep Learning Learning Rate  (11.83 MB)
17 - Basics of Deep Learning Perceptron Training Part 3  (13.82 MB)
18 - Basics of Deep Learning Perceptron Algorithm  (3.17 MB)
19 - Basics of Deep Learning Coading Perceptron Algo Data Reading Visualization  (34.37 MB)
2 - Introduction Introduction to Instructor and Aisciences  (79.34 MB)
20 - Basics of Deep Learning Coading Perceptron Algo Perceptron Step  (47.16 MB)
21 - Basics of Deep Learning Coading Perceptron Algo Training Perceptron  (42.19 MB)
22 - Basics of Deep Learning Coading Perceptron Algo Visualizing the Results  (19.78 MB)
23 - Basics of Deep Learning Problem with Linear Solutions  (9.44 MB)
24 - Basics of Deep Learning Solution to Problem  (4.24 MB)
25 - Basics of Deep Learning Error Functions  (6.32 MB)
26 - Basics of Deep Learning Discrete vs Continuous Error Function  (8.97 MB)
27 - Basics of Deep Learning Sigmoid Function  (9.34 MB)
28 - Basics of Deep Learning MultiClass Problem  (5.57 MB)
29 - Basics of Deep Learning Problem of Negative Scores  (10.12 MB)
30 - Basics of Deep Learning Need of Softmax  (4.57 MB)
31 - Basics of Deep Learning Coding Softmax  (16.63 MB)
32 - Basics of Deep Learning One Hot Encoding  (6.84 MB)
33 - Basics of Deep Learning Maximum Likelihood Part 1  (15.32 MB)
34 - Basics of Deep Learning Maximum Likelihood Part 2  (12.16 MB)
35 - Basics of Deep Learning Cross Entropy  (11.24 MB)
36 - Basics of Deep Learning Cross Entropy Formulation  (33.67 MB)
37 - Basics of Deep Learning Multi Class Cross Entropy  (27.62 MB)
38 - Basics of Deep Learning Cross Entropy Implementation  (16.47 MB)
39 - Basics of Deep Learning Sigmoid Function Implementation  (3.64 MB)
4 - Basics of Deep Learning Problem to Solve Part 1  (8.05 MB)
40 - Basics of Deep Learning Output Function Implementation  (9.9 MB)
41 - Deep Learning Introduction to Gradient Decent  (29.39 MB)
42 - Deep Learning Convex Functions  (8.6 MB)
43 - Deep Learning Use of Derivatives  (10.32 MB)
44 - Deep Learning How Gradient Decent Works  (8.36 MB)
45 - Deep Learning Gradient Step  (6.22 MB)
46 - Deep Learning Logistic Regression Algorithm  (4.87 MB)
47 - Deep Learning Data Visualization and Reading  (51.78 MB)
48 - Deep Learning Updating Weights in Python  (18.59 MB)
49 - Deep Learning Implementing Logistic Regression  (75.47 MB)
5 - Basics of Deep Learning Problem to Solve Part 2  (7.58 MB)
50 - Deep Learning Visualization and Results  (60.13 MB)
51 - Deep Learning Gradient Decent vs Perceptron  (18.57 MB)
52 - Deep Learning Linear to Non Linear Boundaries  (17.59 MB)
53 - Deep Learning Combining Probabilities  (8.75 MB)
54 - Deep Learning Weighted Sums  (12.48 MB)
55 - Deep Learning Neural Network Architecture  (56.86 MB)
56 - Deep Learning Layers and DEEP Networks  (21.19 MB)
57 - Deep Learning Multi Class Classification  (14.22 MB)
58 - Deep Learning Basics of Feed Forward  (28.52 MB)
59 - Deep Learning Feed Forward for DEEP Net  (24.38 MB)
6 - Basics of Deep Learning Problem to Solve Part 3  (6.04 MB)
60 - Deep Learning Deep Learning Algo Overview  (8.04 MB)
61 - Deep Learning Basics of Back Propagation  (24.79 MB)
62 - Deep Learning Updating Weights  (12.75 MB)
63 - Deep Learning Chain Rule for BackPropagation  (21.39 MB)
64 - Deep Learning Sigma Prime  (6.91 MB)
65 - Deep Learning Data Analysis NN Implementation  (44.31 MB)
66 - Deep Learning One Hot Encoding NN Implementation  (21.25 MB)
67 - Deep Learning Scaling the Data NN Implementation  (6.34 MB)
68 - Deep Learning Splitting the Data NN Implementation  (18.71 MB)
69 - Deep Learning Helper Functions NN Implementation  (8.87 MB)
7 - Basics of Deep Learning Linear Equation  (11.54 MB)
70 - Deep Learning Training NN Implementation  (70.51 MB)
71 - Deep Learning Testing NN Implementation  (23.09 MB)
72 - Optimizations Underfitting vs Overfitting  (27.39 MB)
73 - Optimizations Early Stopping  (12.34 MB)
74 - Optimizations Quiz  (1.67 MB)
75 - Optimizations Solution Regularization  (18.04 MB)
76 - Optimizations L1 L2 Regularization  (8.99 MB)
77 - Optimizations Dropout  (11 MB)
78 - Optimizations Local Minima Problem  (7.4 MB)
79 - Optimizations Random Restart Solution  (12.91 MB)
8 - Basics of Deep Learning Linear Equation Vectorized  (11.27 MB)
80 - Optimizations Vanishing Gradient Problem  (12.47 MB)
81 - Optimizations Other Activation Functions  (18.42 MB)
82 - Final Project Final Project Part 1  (94.72 MB)
83 - Final Project Final Project Part 2  (119.12 MB)
84 - Final Project Final Project Part 3  (82.28 MB)
85 - Final Project Final Project Part 4  (48.99 MB)
86 - Final Project Final Project Part 5  (79.67 MB)
9 - Basics of Deep Learning 3D Feature Space  (17.48 MB)
100 - NN with Tensor Basic NN part 1  (57.75 MB)
101 - NN with Tensor Basic NN part 2  (90.1 MB)
102 - NN with Tensor Loss Functions  (119.64 MB)
103 - NN with Tensor Activation Functions Hidden Layers  (91.95 MB)
104 - NN with Tensor Optimizers  (116.89 MB)
105 - NN with Tensor Data Loader Dataset  (43.13 MB)
106 - NN with Tensor Activity  (75.82 MB)
107 - NN with Tensor Activity Solution  (139.03 MB)
108 - NN with Tensor Formating the Output  (24.84 MB)
109 - NN with Tensor Graph for Loss  (30.36 MB)
110 - CNN Introduction to Module  (78.65 MB)
111 - CNN CNN vs NN  (70.68 MB)
112 - CNN Introduction to Convolution  (19.65 MB)
113 - CNN Convolution Animations  (90.02 MB)
114 - CNN Convolution using Pytorch  (56.95 MB)
115 - CNN Introduction to Pooling  (9.87 MB)
116 - CNN Pooling using Numpy  (27.05 MB)
117 - CNN Pooling in Pytorch  (114.41 MB)
118 - CNN Introduction to Project  (109.73 MB)
119 - CNN Project Data Loading  (70.75 MB)
120 - CNN Project Transforms  (88.33 MB)
121 - CNN Project DataLoaders  (47.5 MB)
122 - CNN Project CNN Architect  (60.57 MB)
123 - CNN Project Forward Propagation  (93.76 MB)
124 - CNN Project Training CNN  (171.91 MB)
125 - CNN Project Analyzing Model Output  (46.64 MB)
126 - CNN Project Making Predictions  (24.4 MB)
88 - Introduction Module Content  (207.48 MB)
89 - Introduction Benefits of Framework  (121.86 MB)
90 - Introduction Installations and Setups  (78.46 MB)
91 - Tensor Introduction to Tensor  (55.08 MB)
92 - Tensor List vs Array vs Tensor  (40.14 MB)
93 - Tensor Arithmetic Operations  (45.95 MB)
94 - Tensor Tensor Operations  (44.41 MB)
95 - Tensor AutoGradiants  (83.22 MB)
96 - Tensor Activity Solution  (13.01 MB)
97 - Tensor Detaching Gradients  (51.55 MB)
98 - Tensor Loading GPU  (58.85 MB)
99 - NN with Tensor Introduction to Module  (59.94 MB)
128 - Introduction to TensorFlow Module Introduction  (74.26 MB)
129 - Introduction to TensorFlow TensorFlow Definition and Properties  (12.44 MB)
130 - Introduction to TensorFlow Tensor Types and Tesnor Board  (11.5 MB)
131 - Introduction to TensorFlow How to use TensorFlow  (7.86 MB)
132 - Introduction to TensorFlow Google Colab  (5.09 MB)
133 - Introduction to TensorFlow Exercise  (10.46 MB)
134 - Introduction to TensorFlow Exercise Solution  (68.88 MB)
135 - Introduction to TensorFlow Quiz  (7.53 MB)
136 - Introduction to TensorFlow Quiz Solution  (123.79 MB)
137 - Building your first deep learning Project Module Introduction  (82.86 MB)
138 - Building your first deep learning Project ANNs  (20.98 MB)
139 - Building your first deep learning Project TensorFlow Playground  (19.82 MB)
140 - Building your first deep learning Project Load TF and Data  (6.62 MB)
141 - Building your first deep learning Project Model Training and Evaluation  (10.76 MB)
142 - Building your first deep learning Project Project  (9.38 MB)
143 - Building your first deep learning Project Project Implementation  (136.12 MB)
144 - Building your first deep learning Project Quiz  (3.49 MB)
145 - Building your first deep learning Project Quiz Solution  (54.86 MB)
146 - Multilayer Deep Learning Project Module Introduction  (155.42 MB)
147 - Multilayer Deep Learning Project Training and Epochs  (18.95 MB)
148 - Multilayer Deep Learning Project Gradient Decent and Back Propagation  (20.71 MB)
149 - Multilayer Deep Learning Project Bias Variance TradeOff  (12.41 MB)
150 - Multilayer Deep Learning Project Performance Metrics  (48.9 MB)
151 - Multilayer Deep Learning Project ProjectSales Predition  (144.56 MB)
152 - Multilayer Deep Learning Project Quiz  (5.51 MB)
153 - Multilayer Deep Learning Project Quiz Solution  (72.44 MB)
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