18 GB | 1h 9min 24s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 - Welcome.mp4 (5.11 MB)
2 - General Introduction.mp4 (53.96 MB)
3 - Applications of Deep Learning.mp4 (70.5 MB)
4 - About this Course.mp4 (70.85 MB)
105 - People Counting Shangai Tech Dataset.mp4 (79.51 MB)
106 - Dataset Preparation.mp4 (303.13 MB)
107 - CSRNET.mp4 (71.35 MB)
108 - Training and Optimization.mp4 (49.16 MB)
109 - Data Augmentation.mp4 (245.48 MB)
110 - Object Counting Project.mp4 (2.79 MB)
111 - FreEng Dataset and Task.mp4 (123.01 MB)
112 - Sequence to Sequence Models.mp4 (198.22 MB)
113 - Training Sequence to Sequence Models.mp4 (14.89 MB)
114 - Performance Measurement BLEU Score.mp4 (167.5 MB)
115 - Testing Sequence to Sequence Models.mp4 (74.6 MB)
116 - Attention Mechanism Bahdanau Attention.mp4 (421.45 MB)
117 - Transformers Theory.mp4 (415.53 MB)
118 - Building Transformers with TensorFlow 2.mp4 (315.87 MB)
119 - Text Normalization project.mp4 (23.77 MB)
120 - Understanding Question Answering.mp4 (12.9 MB)
121 - SQUAD dataset.mp4 (224.01 MB)
122 - SQUAD dataset preparation.mp4 (165.34 MB)
123 - Context Answer Network.mp4 (62.43 MB)
124 - Training and Optimization.mp4 (36 MB)
125 - Data Augmentation.mp4 (14.5 MB)
126 - LSH Attention.mp4 (478.77 MB)
127 - BERT Model.mp4 (220.33 MB)
128 - BERT Practice.mp4 (288.6 MB)
129 - GPT Based Chatbot.mp4 (11.11 MB)
130 - What is Automatic Speech Recognition.mp4 (12.41 MB)
131 - LJ Speech Dataset.mp4 (45.9 MB)
132 - Fourier Transform.mp4 (224.19 MB)
133 - Short Time Fourier Transform.mp4 (160.96 MB)
134 - Conv CTC Model.mp4 (115.32 MB)
135 - Speech Transformer.mp4 (234.21 MB)
136 - Audio Classification project.mp4 (4.42 MB)
137 - Flickr 30k Dataset.mp4 (188.01 MB)
138 - CNN Transformer Model.mp4 (43.38 MB)
139 - Training and Optimization.mp4 (177.09 MB)
140 - Vision Transformers.mp4 (238.28 MB)
141 - OCR Project.mp4 (4.12 MB)
142 - Introduction to Generative Modeling.mp4 (77.31 MB)
143 - Image Generation.mp4 (88.68 MB)
144 - GAN Loss.mp4 (55.57 MB)
145 - GAN training and Optimization.mp4 (190.03 MB)
146 - Wasserstein GAN.mp4 (277.51 MB)
147 - Image to Image Translation Project.mp4 (5.69 MB)
148 - Introduction.mp4 (24.07 MB)
149 - Model Preparation.mp4 (63.93 MB)
150 - Deployment.mp4 (52.77 MB)
10 - Objects and Classes.mp4 (59.12 MB)
11 - Operator Overloading.mp4 (52.88 MB)
12 - Method Types.mp4 (48.35 MB)
13 - Inheritance.mp4 (57.33 MB)
14 - Encapsulation.mp4 (11.58 MB)
15 - Polymorphism.mp4 (13.4 MB)
16 - Decorators.mp4 (90.74 MB)
17 - Generators.mp4 (46.58 MB)
18 - Numpy Package.mp4 (207.95 MB)
19 - Matplotlib Introduction.mp4 (21.53 MB)
5 - Python Installation.mp4 (18.14 MB)
6 - Variables and Basic Operators.mp4 (134.93 MB)
7 - Conditional Statements.mp4 (89.58 MB)
8 - Loops.mp4 (93.23 MB)
9 - Methods.mp4 (88.44 MB)
20 - Task Machine Learning Development Life Cycle.mp4 (80.33 MB)
21 - Data Machine Learning Development Life Cycle.mp4 (82.7 MB)
22 - Model Machine Learning Development Life Cycle.mp4 (98.6 MB)
23 - Error Sanctioning Machine Learning Development Life Cycle.mp4 (178.89 MB)
24 - Linear Regression.mp4 (240.96 MB)
25 - Logistic Regression.mp4 (229.45 MB)
26 - Linear Regression Practice.mp4 (130.24 MB)
27 - Logistic Regression Practice.mp4 (72.45 MB)
28 - Optimization.mp4 (126.89 MB)
29 - Performance Measurement.mp4 (210.23 MB)
30 - Validation and Testing.mp4 (42.58 MB)
31 - Softmax Regression Data.mp4 (48.63 MB)
32 - Softmax Regression Modeling.mp4 (36.3 MB)
33 - Softmax Regression Errror Sanctioning.mp4 (47.12 MB)
34 - Softmax Regression Training and Optimization.mp4 (207.06 MB)
35 - Softmax Regression Performance Measurement.mp4 (62.61 MB)
36 - Neural Networks Modeling.mp4 (186.31 MB)
37 - Neural Networks Error Sanctioning.mp4 (8.46 MB)
38 - Neural Networks Training and Optimization.mp4 (366.15 MB)
39 - Neural Networks Training and Optimization Practicals.mp4 (212.58 MB)
40 - Neural Networks Performance Measurement.mp4 (22.23 MB)
41 - Neural Networks Validation and testing.mp4 (58.98 MB)
42 - Solving Overfitting and Underfitting.mp4 (164.35 MB)
43 - Shuffling.mp4 (5.78 MB)
44 - Ensembling.mp4 (4.47 MB)
45 - Weight Initialization.mp4 (103.18 MB)
46 - Data Imbalance.mp4 (27.43 MB)
47 - Learning rate decay.mp4 (12.43 MB)
48 - Normalization.mp4 (100.83 MB)
49 - Hyperparameter tuning.mp4 (14.46 MB)
50 - In Class Exercise.mp4 (27.6 MB)
51 - TensorFlow Installation.mp4 (94.96 MB)
52 - Introduction to TensorFlow.mp4 (107.73 MB)
53 - TensorFlow Basics.mp4 (120.1 MB)
54 - Training a Neural Network with TensorFlow.mp4 (231.47 MB)
55 - Tiny Imagenet Dataset.mp4 (85.36 MB)
56 - TinyImagenet Preparation.mp4 (130.98 MB)
57 - Introduction to Convolutional Neural Networks.mp4 (359.68 MB)
58 - Error Sanctioning.mp4 (26.21 MB)
59 - Training Validation and Performance Measurement.mp4 (20.88 MB)
60 - Reducing overfitting.mp4 (62.77 MB)
61 - VGGNet.mp4 (168.44 MB)
62 - InceptionNet.mp4 (137.03 MB)
63 - ResNet.mp4 (196.47 MB)
64 - MobileNet.mp4 (198.1 MB)
65 - EfficientNet.mp4 (393.68 MB)
66 - Transfer Learning and FineTuning.mp4 (439.95 MB)
67 - Data Augmentation.mp4 (71.28 MB)
68 - Callbacks.mp4 (123.66 MB)
69 - Monitoring with TensorBoard.mp4 (101.44 MB)
70 - ConvNet Project 1.mp4 (10.43 MB)
71 - ConvNet Project 2.mp4 (30.02 MB)
72 - Sentiment Analysis Dataset.mp4 (153.52 MB)
73 - Imdb Dataset Code.mp4 (287.5 MB)
74 - Recurrent Neural Networks.mp4 (207.53 MB)
75 - Training and Optimization Evaluation.mp4 (86.19 MB)
76 - Embeddings.mp4 (98.23 MB)
77 - LSTM.mp4 (145.99 MB)
78 - GRU.mp4 (30.36 MB)
79 - 1D Convolutions.mp4 (65.74 MB)
80 - Bidirectional RNNs.mp4 (37.4 MB)
81 - Word2Vec.mp4 (96.28 MB)
82 - Word2Vec Practice.mp4 (247.15 MB)
83 - RNN Project.mp4 (27.75 MB)
84 - Breast Cancer Dataset.mp4 (91.07 MB)
85 - ResNet Model.mp4 (13.32 MB)
86 - Training and Performance Measurement.mp4 (150.06 MB)
87 - Corrective Measures.mp4 (49.56 MB)
88 - Plant Disease Project.mp4 (38.99 MB)
89 - Object Detection.mp4 (49.19 MB)
90 - Pascal VOC Dataset.mp4 (402.54 MB)
91 - Modeling YOLO v1.mp4 (479.17 MB)
92 - Error Sanctioning.mp4 (185.73 MB)
93 - Training and Optimization.mp4 (111.82 MB)
94 - Testing.mp4 (162.37 MB)
95 - Performance Measurement Mean Average Precision mAP.mp4 (266.96 MB)
96 - Data Augmentation.mp4 (96.48 MB)
97 - YOLO v3.mp4 (614.1 MB)
98 - Instance Segmentation Project.mp4 (10.59 MB)
100 - UNET model.mp4 (113.2 MB)
101 - Training and Optimization.mp4 (41.88 MB)
102 - Data Augmentation and Dropout.mp4 (27.24 MB)
103 - Class weighting and reduced network.mp4 (123.39 MB)
104 - Semantic Segmentation Project.mp4 (1.46 MB)
99 - Image Segmentation Oxford IIIT Pet Dataset.mp4 (57.38 MB)]
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