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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