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[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

19 - Understand and design CNNs/177 - Examine feature map activations.mp4 432.2 MB
22 - Style transfer/205 - Transferring the screaming bathtub.mp4 361.5 MB
19 - Understand and design CNNs/176 - Classify Gaussian blurs.mp4 293.3 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/218 - CodeChallenge sine wave extrapolation.mp4 272.5 MB
18 - Convolution and transformations/163 - Convolution in code.mp4 270.8 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/217 - Predicting alternating sequences.mp4 259.1 MB
26 - Where to go from here/229 - How to read academic DL papers.mp4 232.8 MB
19 - Understand and design CNNs/184 - The EMNIST dataset letter recognition.mp4 230.7 MB
19 - Understand and design CNNs/174 - CNN to classify MNIST digits.mp4 228.4 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/222 - Lorem ipsum.mp4 226.2 MB
7 - ANNs Artificial Neural Networks/52 - Multioutput ANN iris dataset.mp4 225.5 MB
23 - Generative adversarial networks/210 - CNN GAN with Gaussians.mp4 224.6 MB
21 - Transfer learning/200 - Pretraining with autoencoders.mp4 218.8 MB
19 - Understand and design CNNs/180 - Do autoencoders clean Gaussians.mp4 216.1 MB
9 - Regularization/72 - Dropout regularization in practice.mp4 211.2 MB
21 - Transfer learning/198 - Transfer learning with ResNet18.mp4 210.9 MB
16 - Autoencoders/157 - Autoencoder with tied weights.mp4 210.4 MB
7 - ANNs Artificial Neural Networks/47 - ANN for classifying qwerties.mp4 205.8 MB
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02. Redes Neurais - Deep Learning com PyTorch/03. Perceptron/03 - Classificação Linear.mp4 83.6 MB
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06. Redes Neurais Recorrentes - Deep Learning com Pytorch/05. Sequências de Tamanho Variável/03 - Representação do Dado.mp4 78.6 MB
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02. Redes Neurais - Deep Learning com PyTorch/03. Perceptron/02 - Classificação Linear.mp4 74.5 MB
02. Redes Neurais - Deep Learning com PyTorch/01. História das Redes Neurais/02 - História das Redes Neurais.mp4 73.3 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/03. Convolução 2D/02 - Aplicação com Scipy.mp4 72.7 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/06 - Fine-tuning.mp4 71.8 MB

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6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
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4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
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[GigaCourse.Com] Udemy - A deep understanding of deep learning (with Python intro)

19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB

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[GigaCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python V2

9 - Setting Up Your Environment FAQ by Student Request/45 - Anaconda Environment Setup.mp4 323.3 MB
8 - Machine Learning Basics/36 - Classification in Code.mp4 217.9 MB
9 - Setting Up Your Environment FAQ by Student Request/46 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.7 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
7 - Beginner Troubleshooting/33 - What if I dont meet the math prerequisites.mp4 121.2 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
2 - Numpy New/9 - Generating Data.mp4 90.7 MB
8 - Machine Learning Basics/38 - Regression in Code.mp4 81.0 MB
8 - Machine Learning Basics/35 - What is Classification.mp4 76.3 MB
12 - Appendix FAQ Finale/51 - BONUS.mp4 63.8 MB
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2 - Numpy New/4 - Arrays vs Lists.mp4 45.4 MB
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[FreeCourseSite.com] Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects

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8 - Data augmentation/44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 647.5 MB
46 - DEPRECATED Object Detection with YOLO/260 - YOLO v3.mp4 643.9 MB
28 - Neural Machine Translation with Transformers/133 - Understanding Transformer Networks.mp4 636.4 MB
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19 - Object Detection with YOLO algorithm/88 - YOLO paper.mp4 599.8 MB
28 - Neural Machine Translation with Transformers/134 - Building training and testing Transformers.mp4 584.1 MB
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46 - DEPRECATED Object Detection with YOLO/254 - Modeling YOLO v1.mp4 502.5 MB
50 - DEPRECATED Question Answering with TensorFlow 2/289 - LSH Attention.mp4 502.0 MB
11 - MLOps with Weights and Biases/52 - Experiment tracking.mp4 492.5 MB
43 - DEPRECATED Introduction to Deep Computer Vision with TensorFlow 2/230 - Transfer Learning and FineTuning.mp4 461.3 MB
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17 - Transformers in Vision/72 - Understanding VITs.mp4 442.5 MB
49 - DEPRECATED Neural Machine Translation with TensorFlow 2/279 - Attention Mechanism Bahdanau Attention.mp4 441.9 MB
22 - Image generation/110 - Face generation with GANs.mp4 428.4 MB
2 - Tensors and Variables/5 - Tensor Initialization and Casting.mp4 426.3 MB
46 - DEPRECATED Object Detection with YOLO/253 - Pascal VOC Dataset.mp4 422.1 MB
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