2.76 GB | 00:24:24 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
001 Learning Deep Learning Introduction.mp4 (11.34 MB)
001 Topics.mp4 (1.17 MB)
002 1 1 Deep Learning and Its History.mp4 (17.56 MB)
003 1 2 Prerequisites.mp4 (15.83 MB)
001 Topics.mp4 (4.44 MB)
002 10 1 Multitask Learning.mp4 (17.4 MB)
003 10 2 Programming Example Multitask Learning with TensorFlow.mp4 (22.4 MB)
004 10 3 Programming Example Multitask Learning with PyTorch.mp4 (30.05 MB)
005 10 4 Object Detection with R-CNN.mp4 (20.46 MB)
006 10 5 Improved Object Detection with Fast and Faster R-CNN.mp4 (14.62 MB)
007 10 6 Segmentation with Deconvolution Network and U-Net.mp4 (24.82 MB)
008 10 7 Instance Segmentation with Mask R-CNN.mp4 (9.55 MB)
009 10 8 Lesson 10 Summary.mp4 (4.39 MB)
001 Topics.mp4 (2.66 MB)
002 11 1 Ethical AI and Data Ethics.mp4 (52.92 MB)
003 11 2 Process for Tuning a Network.mp4 (16.32 MB)
004 11 3 Further Studies.mp4 (11.98 MB)
001 Topics.mp4 (6.05 MB)
002 2 1 The Perceptron and Its Learning Algorithm.mp4 (29.72 MB)
003 2 2 Programming Example Perceptron.mp4 (27.52 MB)
004 2 3 Understanding the Bias Term.mp4 (6.59 MB)
005 2 4 Matrix and Vector Notation for Neural Networks.mp4 (20.72 MB)
006 2 5 Perceptron Limitations.mp4 (27.67 MB)
007 2 6 Solving Learning Problem with Gradient Descent.mp4 (35.66 MB)
008 2 7 Computing Gradient with the Chain Rule.mp4 (41.79 MB)
009 2 8 The Backpropagation Algorithm.mp4 (21.41 MB)
010 2 9 Programming Example Learning the XOR Function.mp4 (59.64 MB)
011 2 10 What Activation Function to Use.mp4 (6.65 MB)
012 2 11 Lesson 2 Summary.mp4 (8.81 MB)
001 Topics.mp4 (7.04 MB)
002 3 1 Datasets and Generalization.mp4 (25.28 MB)
003 3 2 Multiclass Classification.mp4 (17.87 MB)
004 3 3 Programming Example Digit Classification with Python.mp4 (73.67 MB)
005 3 4 DL Frameworks.mp4 (5 MB)
006 3 5 Programming Example Digit Classification with TensorFlow.mp4 (25.37 MB)
007 3 6 Programming Example Digit Classification with PyTorch.mp4 (49.69 MB)
008 3 7 Avoiding Saturating Neurons and Vanishing Gradients-Part I.mp4 (26.06 MB)
009 3 8 Avoiding Saturating Neurons and Vanishing Gradients-Part II.mp4 (34.03 MB)
010 3 9 Variations on Gradient Descent.mp4 (11.74 MB)
011 3 10 Programming Example Improved Digit Classification with TensorFlow.mp4 (11.67 MB)
012 3 11 Programming Example Improved Digit Classification with PyTorch.mp4 (22.91 MB)
013 3 12 Problem Types, Output Units, and Loss Functions.mp4 (20.13 MB)
014 3 13 Regularization Techniques.mp4 (9.13 MB)
015 3 14 Programming Example Regression Problem with TensorFlow.mp4 (36.16 MB)
016 3 15 Programming Example Regression Problem with PyTorch.mp4 (45.08 MB)
017 3 16 Lesson 3 Summary.mp4 (9.52 MB)
001 Topics.mp4 (4.77 MB)
002 4 1 The CIFAR-10 Dataset.mp4 (13.91 MB)
003 4 2 Convolutional Layer.mp4 (25.5 MB)
004 4 3 Building a Convolutional Neural Network.mp4 (43.65 MB)
005 4 4 Programming Example Image Classification Using CNN with TensorF.mp4 (38.52 MB)
006 4 5 Programming Example Image Classification Using CNN with PyTorch.mp4 (40.05 MB)
007 4 6 AlexNet.mp4 (15.18 MB)
008 4 7 VGGNet.mp4 (17.89 MB)
009 4 8 GoogLeNet.mp4 (16.62 MB)
010 4 9 ResNet.mp4 (19.35 MB)
011 4 10 Programming Example Using a Pretrained Network with TensorFlow.mp4 (17.04 MB)
012 4 11 Programming Example Using a Pretrained Network with PyTorch.mp4 (19.7 MB)
013 4 12 Transfer Learning.mp4 (11.6 MB)
014 4 13 Efficient CNNs.mp4 (11.5 MB)
015 4 14 Lesson 4 Summary.mp4 (7.53 MB)
001 Topics.mp4 (4.97 MB)
002 5 1 Problem Types Involving Sequential Data.mp4 (19.68 MB)
003 5 2 Recurrent Neural Networks.mp4 (25.12 MB)
004 5 3 Programming Example Forecasting Book Sales with TensorFlow.mp4 (40.61 MB)
005 5 4 Programming Example Forecasting Book Sales with PyTorch.mp4 (45.53 MB)
006 5 5 Backpropagation Through Time and Keeping Gradients Healthy.mp4 (24.75 MB)
007 5 6 Long Short-Term Memory.mp4 (27.94 MB)
008 5 7 Autoregression and Beam Search.mp4 (18.49 MB)
009 5 8 Programming Example Text Autocompletion with TensorFlow.mp4 (60.08 MB)
010 5 9 Programming Example Text Autocompletion with PyTorch.mp4 (64.76 MB)
011 5 10 Lesson 5 Summary.mp4 (5.69 MB)
001 Topics.mp4 (4.1 MB)
002 6 1 Language Models.mp4 (36.29 MB)
003 6 2 Word Embeddings.mp4 (35.93 MB)
004 6 3 Programming Example Language Model and Word Embeddings with TensorFlow.mp4 (54.37 MB)
005 6 4 Programming Example Language Model and Word Embeddings with PyTorch.mp4 (46.08 MB)
006 6 5 Word2vec.mp4 (19.05 MB)
007 6 6 Programming Example Using Pretrained GloVe Embeddings.mp4 (25.15 MB)
008 6 7 Handling Out-of-Vocabulary Words with Wordpieces.mp4 (9.61 MB)
009 6 8 Lesson 6 Summary.mp4 (4.84 MB)
001 Topics.mp4 (4.13 MB)
002 7 1 Encoder-Decoder Network for Neural Machine.mp4 (12.68 MB)
003 7 2 Programming Example Neural Machine Transla.mp4 (108.81 MB)
004 7 3 Programming Example Neural Machine Transla.mp4 (99.88 MB)
005 7 4 Attention.mp4 (25.09 MB)
006 7 5 The Transformer.mp4 (26.04 MB)
007 7 6 Programming Example Machine Translation Us.mp4 (36.09 MB)
008 7 7 Programming Example Machine Translation Us.mp4 (40.98 MB)
009 7 8 Lesson 7 Summary.mp4 (4.58 MB)
001 Topics.mp4 (4.22 MB)
002 8 1 Overview of BERT.mp4 (27.97 MB)
003 8 2 Overview of GPT.mp4 (20.27 MB)
004 8 3 From GPT to GPT4.mp4 (52.16 MB)
005 8 4 Handling Chat History.mp4 (16.32 MB)
006 8 5 Prompt Tuning.mp4 (25.07 MB)
007 8 6 Retrieving Data and Using Tools.mp4 (26.41 MB)
008 8 7 Open Datasets and Models.mp4 (15.61 MB)
009 8 8 Demo Large Language Model Prompting.mp4 (25.74 MB)
010 8 9 Lesson 8 Summary.mp4 (4.07 MB)
001 Topics.mp4 (3.83 MB)
002 9 1 Multimodal learning.mp4 (22.61 MB)
003 9 2 Programming Example Multimodal Classification with TensorFlow.mp4 (34.45 MB)
004 9 3 Programming Example Multimodal Classification with PyTorch.mp4 (33.73 MB)
005 9 4 Image Captioning with Attention.mp4 (17.89 MB)
006 9 5 Programming Example Image Captioning with TensorFlow.mp4 (81.18 MB)
007 9 6 Programming Example Image Captioning with PyTorch.mp4 (82.29 MB)
008 9 7 Multimodal Large Language Models.mp4 (60.21 MB)
009 9 8 Lesson 9 Summary.mp4 (4.23 MB)
001 Learning Deep Learning Summary.mp4 (33.36 MB)]
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