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Deep Learning Masterclass with TensorFlow 2 Over 15 Projects
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[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects (Size: 18.15 GB) (Files: 450)
[TutsNode.net] - Deep Learning Masterclass with TensorFlow 2 Over 15 Projects
8 - Object Detection with YOLO
97 - YOLO v3.mp4
97 - YOLO v3 English.vtt
91 - Modeling YOLO v1.mp4
90 - Pascal VOC Dataset English.vtt
91 - Modeling English.vtt
95 - Performance Measurement English.vtt
92 - Error Sanctioning English.vtt
94 - Testing English.vtt
96 - Data Augmentation English.vtt
93 - Training and Optimization English.vtt
89 - Object Detection English.vtt
98 - Instance Segmentation Project English.vtt
90 - Pascal VOC Dataset.mp4
95 - Performance Measurement Mean Average Precision mAP.mp4
92 - Error Sanctioning.mp4
94 - Testing.mp4
93 - Training and Optimization.mp4
96 - Data Augmentation.mp4
89 - Object Detection.mp4
98 - Instance Segmentation Project.mp4
1 - Introduction
1 - Welcome English.vtt
2 - General Introduction English.vtt
4 - About this Course English.vtt
3 - Applications of Deep Learning English.vtt
4 - About this Course.mp4
3 - Applications of Deep Learning.mp4
2 - General Introduction.mp4
1 - Welcome.mp4
9 - Semantic Segmentation with UNET
104 - Semantic Segmentation Project.mp4
100 - UNET model English.vtt
103 - Class weighting and reduced network English.vtt
99 - Image Segmentation English.vtt
101 - Training and Optimization English.vtt
102 - Data Augmentation and Dropout English.vtt
104 - Semantic Segmentation Project English.vtt
103 - Class weighting and reduced network.mp4
100 - UNET model.mp4
99 - Image Segmentation Oxford IIIT Pet Dataset.mp4
101 - Training and Optimization.mp4
102 - Data Augmentation and Dropout.mp4
12 - Question Answering with TensorFlow 2
126 - LSH Attention English.vtt
128 - BERT Practice English.vtt
126 - LSH Attention.mp4
122 - SQUAD dataset preparation English.vtt
121 - SQUAD dataset English.vtt
127 - BERT Model English.vtt
123 - Context English.vtt
129 - GPT Based Chatbot English.vtt
124 - Training and Optimization English.vtt
120 - Understanding Question Answering English.vtt
125 - Data Augmentation English.vtt
128 - BERT Practice.mp4
121 - SQUAD dataset.mp4
127 - BERT Model.mp4
122 - SQUAD dataset preparation.mp4
123 - Context Answer Network.mp4
124 - Training and Optimization.mp4
125 - Data Augmentation.mp4
120 - Understanding Question Answering.mp4
129 - GPT Based Chatbot.mp4
5 - Introduction to Deep Computer Vision with TensorFlow 2
57 - Introduction to Convolutional Neural Networks English.vtt
66 - Transfer Learning and FineTuning English.vtt
65 - EfficientNet English.vtt
56 - TinyImagenet Preparation English.vtt
64 - MobileNet English.vtt
62 - InceptionNet English.vtt
69 - Monitoring with TensorBoard English.vtt
63 - ResNet English.vtt
68 - Callbacks English.vtt
61 - VGGNet English.vtt
67 - Data Augmentation English.vtt
55 - Tiny Imagenet Dataset English.vtt
66 - Transfer Learning and FineTuning.mp4
60 - Reducing overfitting English.vtt
58 - Error Sanctioning English.vtt
70 - ConvNet Project 1 English.vtt
71 - ConvNet Project 2 English.vtt
59 - Training Validation and Performance Measurement English.vtt
65 - EfficientNet.mp4
57 - Introduction to Convolutional Neural Networks.mp4
64 - MobileNet.mp4
63 - ResNet.mp4
61 - VGGNet.mp4
62 - InceptionNet.mp4
56 - TinyImagenet Preparation.mp4
68 - Callbacks.mp4
69 - Monitoring with TensorBoard.mp4
55 - Tiny Imagenet Dataset.mp4
67 - Data Augmentation.mp4
60 - Reducing overfitting.mp4
71 - ConvNet Project 2.mp4
58 - Error Sanctioning.mp4
59 - Training Validation and Performance Measurement.mp4
70 - ConvNet Project 1.mp4
11 - Neural Machine Translation with TensorFlow 2
116 - Attention Mechanism English.vtt
118 - Building Transformers with TensorFlow 2 English.vtt
117 - Transformers Theory English.vtt
114 - Performance Measurement English.vtt
112 - Sequence to Sequence Models English.vtt
111 - Fre English.vtt
115 - Testing Sequence to Sequence Models English.vtt
116 - Attention Mechanism Bahdanau Attention.mp4
113 - Training Sequence to Sequence Models English.vtt
119 - Text Normalization project English.vtt
117 - Transformers Theory.mp4
118 - Building Transformers with TensorFlow 2.mp4
112 - Sequence to Sequence Models.mp4
114 - Performance Measurement BLEU Score.mp4
111 - FreEng Dataset and Task.mp4
115 - Testing Sequence to Sequence Models.mp4
119 - Text Normalization project.mp4
113 - Training Sequence to Sequence Models.mp4
4 - Introduction to TensorFlow 2
54 - Training a Neural Network with TensorFlow English.vtt
53 - TensorFlow Basics English.vtt
52 - Introduction to TensorFlow English.vtt
51 - TensorFlow Installation English.vtt
54 - Training a Neural Network with TensorFlow.mp4
53 - TensorFlow Basics.mp4
52 - Introduction to TensorFlow.mp4
51 - TensorFlow Installation.mp4
15 - Image Generative Modeling
147 - Image to Image Translation Project English.vtt
146 - Wasserstein GAN English.vtt
145 - GAN training and Optimization English.vtt
143 - Image Generation English.vtt
144 - GAN Loss English.vtt
142 - Introduction to Generative Modeling English.vtt
146 - Wasserstein GAN.mp4
145 - GAN training and Optimization.mp4
143 - Image Generation.mp4
142 - Introduction to Generative Modeling.mp4
144 - GAN Loss.mp4
147 - Image to Image Translation Project.mp4
3 - Introduction to Machine Learning
38 - Neural Networks English.vtt
24 - Linear Regression English.vtt
29 - Performance Measurement English.vtt
34 - Softmax Regression English.vtt
39 - Neural Networks English.vtt
25 - Logistic Regression English.vtt
26 - Linear Regression Practice English.vtt
36 - Neural Networks English.vtt
23 - Error Sanctioning English.vtt
42 - Solving Overfitting and Underfitting English.vtt
28 - Optimization English.vtt
22 - Model English.vtt
37 - Neural Networks English.vtt
48 - Normalization English.vtt
45 - Weight Initialization English.vtt
21 - Data English.vtt
43 - Shuffling English.vtt
20 - Task English.vtt
44 - Ensembling English.vtt
27 - Logistic Regression Practice English.vtt
47 - Learning rate decay English.vtt
33 - Softmax Regression English.vtt
35 - Softmax Regression English.vtt
41 - Neural Networks English.vtt
32 - Softmax Regression English.vtt
30 - Validation and Testing English.vtt
31 - Softmax Regression English.vtt
46 - Data Imbalance English.vtt
50 - In Class Exercise English.vtt
40 - Neural Networks English.vtt
49 - Hyperparameter tuning English.vtt
38 - Neural Networks Training and Optimization.mp4
24 - Linear Regression.mp4
25 - Logistic Regression.mp4
39 - Neural Networks Training and Optimization Practicals.mp4
29 - Performance Measurement.mp4
34 - Softmax Regression Training and Optimization.mp4
36 - Neural Networks Modeling.mp4
23 - Error Sanctioning Machine Learning Development Life Cycle.mp4
42 - Solving Overfitting and Underfitting.mp4
26 - Linear Regression Practice.mp4
28 - Optimization.mp4
45 - Weight Initialization.mp4
48 - Normalization.mp4
22 - Model Machine Learning Development Life Cycle.mp4
21 - Data Machine Learning Development Life Cycle.mp4
20 - Task Machine Learning Development Life Cycle.mp4
27 - Logistic Regression Practice.mp4
35 - Softmax Regression Performance Measurement.mp4
41 - Neural Networks Validation and testing.mp4
31 - Softmax Regression Data.mp4
33 - Softmax Regression Errror Sanctioning.mp4
30 - Validation and Testing.mp4
32 - Softmax Regression Modeling.mp4
50 - In Class Exercise.mp4
46 - Data Imbalance.mp4
40 - Neural Networks Performance Measurement.mp4
49 - Hyperparameter tuning.mp4
47 - Learning rate decay.mp4
37 - Neural Networks Error Sanctioning.mp4
43 - Shuffling.mp4
44 - Ensembling.mp4
2 - Essential Python Programming
18 - Numpy Package English.vtt
14 - Encapsulation English.vtt
15 - Polymorphism English.vtt
6 - Variables and Basic Operators English.vtt
8 - Loops English.vtt
9 - Methods English.vtt
16 - Decorators English.vtt
7 - Conditional Statements English.vtt
10 - Objects and Classes English.vtt
11 - Operator Overloading English.vtt
13 - Inheritance English.vtt
17 - Generators English.vtt
12 - Method Types English.vtt
19 - Matplotlib Introduction English.vtt
5 - Python Installation English.vtt
18 - Numpy Package.mp4
6 - Variables and Basic Operators.mp4
8 - Loops.mp4
16 - Decorators.mp4
7 - Conditional Statements.mp4
9 - Methods.mp4
10 - Objects and Classes.mp4
13 - Inheritance.mp4
11 - Operator Overloading.mp4
12 - Method Types.mp4
17 - Generators.mp4
19 - Matplotlib Introduction.mp4
5 - Python Installation.mp4
15 - Polymorphism.mp4
14 - Encapsulation.mp4
10 - People Counting
106 - Dataset Preparation English.vtt
109 - Data Augmentation English.vtt
105 - People Counting English.vtt
107 - CSRNET English.vtt
108 - Training and Optimization English.vtt
110 - Object Counting Project English.vtt
106 - Dataset Preparation.mp4
109 - Data Augmentation.mp4
105 - People Counting Shangai Tech Dataset.mp4
107 - CSRNET.mp4
108 - Training and Optimization.mp4
110 - Object Counting Project.mp4
6 - Introduction to Deep NLP with TensorFlow 2
73 - Imdb Dataset Code English.vtt
74 - Recurrent Neural Networks English.vtt
82 - Word2Vec Practice English.vtt
72 - Sentiment Analysis Dataset English.vtt
77 - LSTM English.vtt
76 - Embeddings English.vtt
75 - Training and Optimization Evaluation English.vtt
81 - Word2Vec English.vtt
79 - 1D Convolutions English.vtt
80 - Bidirectional RNNs English.vtt
78 - GRU English.vtt
83 - RNN Project English.vtt
73 - Imdb Dataset Code.mp4
82 - Word2Vec Practice.mp4
74 - Recurrent Neural Networks.mp4
72 - Sentiment Analysis Dataset.mp4
77 - LSTM.mp4
76 - Embeddings.mp4
81 - Word2Vec.mp4
75 - Training and Optimization Evaluation.mp4
79 - 1D Convolutions.mp4
80 - Bidirectional RNNs.mp4
78 - GRU.mp4
83 - RNN Project.mp4
13 - Automatic Speech Recognition
132 - Fourier Transform English.vtt
133 - Short Time Fourier Transform English.vtt
135 - Speech Transformer English.vtt
134 - Conv English.vtt
131 - LJ English.vtt
130 - What is Automatic Speech Recognition English.vtt
136 - Audio Classification project English.vtt
135 - Speech Transformer.mp4
132 - Fourier Transform.mp4
133 - Short Time Fourier Transform.mp4
134 - Conv CTC Model.mp4
131 - LJ Speech Dataset.mp4
130 - What is Automatic Speech Recognition.mp4
136 - Audio Classification project.mp4
14 - Image Captioning
140 - Vision Transformers English.vtt
137 - Flickr 30k Dataset English.vtt
139 - Training and Optimization English.vtt
138 - CNN English.vtt
141 - OCR Project English.vtt
140 - Vision Transformers.mp4
137 - Flickr 30k Dataset.mp4
139 - Training and Optimization.mp4
138 - CNN Transformer Model.mp4
141 - OCR Project.mp4
7 - Breast Cancer Detection
86 - Training and Performance Measurement English.vtt
84 - Breast Cancer Dataset English.vtt
87 - Corrective Measures English.vtt
88 - Plant Disease Project English.vtt
85 - ResNet Model English.vtt
86 - Training and Performance Measurement.mp4
84 - Breast Cancer Dataset.mp4
87 - Corrective Measures.mp4
88 - Plant Disease Project.mp4
85 - ResNet Model.mp4
16 - Shipping a Model with Google Cloud Function
150 - Deployment English.vtt
149 - Model Preparation English.vtt
148 - Introduction English.vtt
149 - Model Preparation.mp4
150 - Deployment.mp4
148 - Introduction.mp4
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