PyTorch deep learning tutorial training screencast videos on @aiworkbox

PyTorch Matrix Multiplication: How To Do A PyTorch Dot Product

PyTorch Matrix Multiplication - Use torch.mm to do a PyTorch Dot Product

3:26

Convert a pytorch tensor to a list 280x158

PyTorch Tensor To List: How To Convert A PyTorch Tensor To A List

Use PyTorch's To List (tolist) operation to convert a PyTorch Tensor to a Python list

2:08

PyTorch List to Tensor: Convert A Python List To A PyTorch Tensor

PyTorch List to Tensor - Use the PyTorch Tensor operation (torch.tensor) to convert a Python list object into a PyTorch Tensor

2:01

Augment the CIFAR10 Dataset Using the RandomHorizontalFlip and RandomCrop Transforms

Augment the CIFAR10 Dataset Using the TorchVision RandomHorizontalFlip (transforms.RandomHorizontalFlip) and RandomCrop (transforms.RandomCrop) Transforms

3:20

Use Torchvision CenterCrop Transform To Do A Rectangular Crop Of A PIL Image

Use Torchvision CenterCrop Transform (torchvision.transforms.CenterCrop) to do a rectangular crop of a PIL image

3:33

Use Torchvision CenterCrop Transform To Do A Square Crop Of A PIL Image

Use Torchvision CenterCrop Transform (torchvision.transforms.CenterCrop) to do a square crop of a PIL image

3:40

Get The Shape Of A PyTorch Tensor As A List Of Integers

Get the shape of a PyTorch Tensor as a list of integers by using the PyTorch Shape operation and the Python List constructor

2:28

Turn A List Of PyTorch Tensors Into One Tensor

Use the PyTorch Stack operation (torch.stack) to turn a list of PyTorch Tensors into one tensor

3:03

Check Torchvision Version

Check the TorchVision version by printing the version parameter

0:26

Apply Transforms To PyTorch Torchvision Datasets

Use the Torchvision Transforms Parameter in the initialization function to apply transforms to PyTorch Torchvision Datasets during the data import process

1:51

Normalize CIFAR10 Dataset Tensor

Use Torchvision Transforms Normalize (transforms.Normalize) to normalize CIFAR10 dataset tensors using the mean and standard deviation of the dataset

1:42

Add A New Dimension To The End Of A Tensor In PyTorch

Add a new dimension to the end of a PyTorch tensor by using None-style indexing

2:10

Add A New Dimension To The Middle Of A Tensor In PyTorch

Add a new dimension to the middle of a PyTorch tensor by using None-style indexing

2:12

Add A New Dimension To The Beginning Of A Tensor In PyTorch

Add a new dimension to the beginning of a PyTorch tensor by using None-style indexing

1:37

Calculate the number of elements in a pytorch tensor 280x158

PyTorch numel: Calculate The Number Of Elements In A PyTorch Tensor

PyTorch numel - Calculate the number of elements in a PyTorch Tensor by using the PyTorch numel operation

1:22

Create A PyTorch Identity Matrix

Create a PyTorch identity matrix by using the PyTorch eye operation

1:03

Move PyTorch Tensor Data To A Contiguous Chunk Of Memory

Use the PyTorch contiguous operation to move a PyTorch Tensor's data to a contiguous chunk of memory

5:59

Infer Dimensions While Reshaping A PyTorch Tensor

Infer dimensions while reshaping a PyTorch tensor by using the PyTorch view operation

4:00

Flatten A PyTorch Tensor

Flatten A PyTorch Tensor by using the PyTorch view operation

2:22

PyTorch View: Reshape A PyTorch Tensor

PyTorch View - how to use the PyTorch View (.view(...)) operation to reshape a PyTorch tensor

3:34

Fill a pytorch tensor with a certain scalar 280x158

Transpose A Matrix In PyTorch

Transpose A Matrix In PyTorch by using the PyTorch T operation

1:59

Fill A PyTorch Tensor With A Certain Scalar

Fill A PyTorch Tensor with a certain scalar by using the PyTorch fill operation

2:09

Tell PyTorch To Do An In Place Operation

Tell PyTorch to do an in-place operation by using an underscore after an operation's name

2:48

Add Two PyTorch Tensors Together

Add two PyTorch Tensors together by using the PyTorch add operation

2:00

Specify PyTorch Tensor Maximum Value Threshold

Specify PyTorch Tensor Maximum Value Threshold by using the PyTorch clamp operation

1:59

Specify PyTorch Tensor Minimum Value Threshold

Specify PyTorch Tensor Minimum Value Threshold by using the PyTorch clamp operation

2:06

Clip pytorch tensor values to a range 280x158

PyTorch Clamp: Clip PyTorch Tensor Values To A Range

Use PyTorch clamp operation to clip PyTorch Tensor values to a specific range

1:48

Get The PyTorch Variable Shape

Get the PyTorch Variable shape by using the PyTorch size operation

1:56

Calculate The Biased Standard Deviation Of All Elements In A PyTorch Tensor

Calculate the biased standard deviation of all elements in a PyTorch Tensor by using the PyTorch std operation

4:47

Calculate The Unbiased Standard Deviation Of All Elements In A PyTorch Tensor

Calculate the unbiased standard deviation of all elements in a PyTorch Tensor by using the PyTorch std operation

5:00

Calculate The Power Of Each Element In A PyTorch Tensor For A Given Exponent

Calculate the power of each element in a PyTorch Tensor for a given exponent by using the PyTorch pow operation

2:04

Calculate The Sum Of All Elements In A PyTorch Tensor

Calculate the Sum of all elements in a tensor by using the PyTorch sum operation

2:00

Calculate The Mean Value Of All Elements In A PyTorch Tensor

Calculate the Mean value of all elements in a tensor by using the PyTorch mean operation

2:01

Convert CIFAR10 Dataset from PIL Images to PyTorch Tensors

Convert CIFAR10 Dataset from PIL Images to PyTorch Tensors by Using PyTorch's ToTensor Operation

1:15

Check For Element Wise Equality Between Two PyTorch Tensors

Check for element wise equality between two PyTorch tensors using the PyTorch eq equality comparison operation

3:00

Create A PyTorch Tensor Full Of Ones

Create a PyTorch Tensor full of ones so that each element is a ones using the PyTorch Ones operation

1:17

Create A PyTorch Tensor Full Of Zeros

Create a PyTorch Tensor full of zeros so that each element is a zero using the PyTorch Zeros operation

1:20

Examine MNIST Dataset from PyTorch Torchvision

Examine the MNIST dataset from PyTorch Torchvision using Python and PIL, the Python Imaging Library

2:57

Load mnist dataset from pytorch torchvision 280x158

PyTorch MNIST: Load MNIST Dataset from PyTorch Torchvision

PyTorch MNIST - Load the MNIST dataset from PyTorch Torchvision and split it into a train data set and a test data set

2:11

Load CIFAR10 Dataset From PyTorch Torchvision

Load the CIFAR10 dataset from PyTorch Torchvision and split it into a train data set and a test data set

1:59

Calculate the element wise hadamard multiplication of matrices in pytorch 280x158

PyTorch Element Wise Multiplication: Element-Wise Matrix Multiplication

PyTorch Element Wise Multiplication - Calculate the Element-Wise multiplication of matrices in PyTorch to get the Hadamard Product

2:59

Get The PyTorch Tensor Shape

Get the PyTorch Tensor shape as a PyTorch Size object and as a list of integers

2:12

Print A Verbose Version Of A PyTorch Tensor

Print a verbose version of a PyTorch tensor so that you can see all of the elements rather than just seeing the truncated or shortened version

2:27

Convert a pytorch variable to numpy array 280x158

Convert PyTorch autograd Variable To NumPy Multidimensional Array

Transform a PyTorch autograd Variable to a NumPy Multidimensional Array by extracting the PyTorch Tensor from the Variable and converting the Tensor to the NumPy array

3:30