Udemy PyTorch for Deep Learning with Python Bootcamp

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Download Free Download : Udemy PyTorch for Deep Learning with Python Bootcamp
zip | Video: h264,N/AXN/A | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:6.72 GB
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Files Included :

Spoiler

1 COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp4 (38.84 MB)
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1 1 PYTORCH NOTEBOOKS zip.zip (195.96 MB)
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2 Installation and Environment Setup.mp4 (115.96 MB)
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2 1 PYTORCH NOTEBOOKS zip.zip (195.96 MB)
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1 Why do we need GPUs.mp4 (102.4 MB)
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2 Using GPU for PyTorch.mp4 (114.09 MB)
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1 Introduction to NLP with PyTorch.mp4 (15.98 MB)
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2 Encoding Text Data.mp4 (109.42 MB)
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3 Generating Training Batches.mp4 (96.47 MB)
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4 Creating the LSTM Model.mp4 (73.58 MB)
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5 Training the LSTM Model.mp4 (81.66 MB)
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7 Generating Predictions.mp4 (72.59 MB)
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1 Introduction to NumPy.mp4 (3.9 MB)
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2 NumPy Arrays.mp4 (60.45 MB)
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3 NumPy Arrays Part Two.mp4 (54.95 MB)
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4 Numpy Index Selection.mp4 (58.91 MB)
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5 NumPy Operations.mp4 (40.4 MB)
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6 Numpy Exercises.mp4 (12.32 MB)
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7 Numpy Exercises - Solutions.mp4 (54.85 MB)
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1 Pandas Overview.mp4 (6.39 MB)
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2 Pandas Series.mp4 (45.11 MB)
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3 Pandas DataFrames - Part One.mp4 (87.83 MB)
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4 Pandas DataFrames - Part Two.mp4 (73.08 MB)
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5 GroupBy Operations.mp4 (28.98 MB)
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6 Pandas Operations.mp4 (43.8 MB)
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7 Data Input and Output.mp4 (68.3 MB)
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8 Pandas Exercises.mp4 (30.98 MB)
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9 Pandas Exercises - Solutions.mp4 (63.67 MB)
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1 PyTorch Basics Introduction.mp4 (16.78 MB)
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2 Tensor Basics.mp4 (42.53 MB)
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3 Tensor Basics - Part Two.mp4 (82.51 MB)
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4 Tensor Operations.mp4 (71.33 MB)
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5 Tensor Operations - Part Two.mp4 (33.96 MB)
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6 PyTorch Basics - Exercise.mp4 (17.37 MB)
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7 PyTorch Basics - Exercise Solutions.mp4 (35.02 MB)
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1 What is Machine Learning.mp4 (22.38 MB)
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2 Supervised Learning.mp4 (45.42 MB)
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3 Overfitting.mp4 (30.37 MB)
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4 Evaluating Performance - Classification Error Metrics.mp4 (93.83 MB)
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5 Evaluating Performance - Regression Error Metrics.mp4 (27.92 MB)
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6 Unsupervised Learning.mp4 (21.76 MB)
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1 Introduction to ANN Section.mp4 (8.65 MB)
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10 Linear Regression with PyTorch - Part Two.mp4 (149.79 MB)
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11 DataSets with PyTorch.mp4 (109.13 MB)
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12 Basic Pytorch ANN - Part One.mp4 (60.76 MB)
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13 Basic PyTorch ANN - Part Two.mp4 (93.2 MB)
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14 Basic PyTorch ANN - Part Three.mp4 (88.6 MB)
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15 Introduction to Full ANN with PyTorch.mp4 (35.18 MB)
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16 Full ANN Code Along - Regression - Part One - Feature Engineering.mp4 (161.64 MB)
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17 Full ANN Code Along - Regression - Part 2 - Categorical and Continuous Features.mp4 (129.24 MB)
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18 Full ANN Code Along - Regression - Part Three - Tabular Model.mp4 (115.06 MB)
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19 Full ANN Code Along - Regression - Part Four - Training and Evaluation.mp4 (117.22 MB)
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2 Theory - Perceptron Model.mp4 (55.79 MB)
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20 Full ANN Code Along - Classification Example.mp4 (68.66 MB)
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21 ANN - Exercise Overview.mp4 (57.56 MB)
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22 ANN - Exercise Solutions.mp4 (135.79 MB)
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3 Theory - Neural Network.mp4 (41.45 MB)
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4 Theory - Activation Functions.mp4 (71.09 MB)
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5 Multi-Class Classification.mp4 (53.92 MB)
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6 Theory - Cost Functions and Gradient Descent.mp4 (89.46 MB)
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7 Theory - BackPropagation.mp4 (67.89 MB)
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8 PyTorch Gradients.mp4 (70.33 MB)
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9 Linear Regression with PyTorch.mp4 (51.5 MB)
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1 Introduction to CNNs.mp4 (9.74 MB)
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10 MNIST Data Revisited.mp4 (10.8 MB)
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11 MNIST with CNN - Code Along - Part One.mp4 (122.91 MB)
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12 MNIST with CNN - Code Along - Part Two.mp4 (105.52 MB)
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13 MNIST with CNN - Code Along - Part Three.mp4 (54.82 MB)
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14 CIFAR-10 DataSet with CNN - Code Along - Part One.mp4 (56.65 MB)
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15 CIFAR-10 DataSet with CNN - Code Along - Part Two.mp4 (146.31 MB)
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16 Loading Real Image Data - Part One.mp4 (91.07 MB)
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17 Loading Real Image Data - Part Two.mp4 (164.19 MB)
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18 CNN on Custom Images - Part One - Loading Data.mp4 (158.91 MB)
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19 CNN on Custom Images - Part Two - Training and Evaluating Model.mp4 (76.17 MB)
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2 Understanding the MNIST data set.mp4 (16.83 MB)
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20 CNN on Custom Images - Part Three - PreTrained Networks.mp4 (100.71 MB)
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21 CNN Exercise.mp4 (27.61 MB)
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22 CNN Exercise Solutions.mp4 (61.33 MB)
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3 ANN with MNIST - Part One - Data.mp4 (116.75 MB)
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4 ANN with MNIST - Part Two - Creating the Network.mp4 (64.35 MB)
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5 ANN with MNIST - Part Three - Training.mp4 (92.03 MB)
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6 ANN with MNIST - Part Four - Evaluation.mp4 (58.43 MB)
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7 Image Filters and Kernels.mp4 (86.97 MB)
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8 Convolutional Layers.mp4 (68.62 MB)
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9 Pooling Layers.mp4 (32.97 MB)
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1 Introduction to Recurrent Neural Networks.mp4 (9.53 MB)
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10 RNN on a Time Series - Part Two.mp4 (140.67 MB)
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11 RNN Exercise.mp4 (38.95 MB)
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12 RNN Exercise - Solutions.mp4 (87.08 MB)
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2 RNN Basic Theory.mp4 (34.99 MB)
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3 Vanishing Gradients.mp4 (32.48 MB)
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4 LSTMS and GRU.mp4 (48.98 MB)
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5 RNN Batches Theory.mp4 (37.82 MB)
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6 RNN - Creating Batches with Data.mp4 (91.16 MB)
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7 Basic RNN - Creating the LSTM Model.mp4 (89.77 MB)
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8 Basic RNN - Training and Forecasting.mp4 (136.67 MB)
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9 RNN on a Time Series - Part One.mp4 (89.04 MB)
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