Sebastian Gutierrez
Browse Sebastian Gutierrez's Lessons
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Calculate The ElementWise Hadamard Multiplication Of Two TensorFlow Tensors
Calculate the elementwise Hadamard multiplication of two TensorFlow tensors by using tf.multiply
4:10

Stack A List of TensorFlow Tensors Into One Tensor
Stack a list of TensorFlow Tensors of the same rank into one tensor by using tf.stack
4:58

Check For Element Wise Equality Between Two TensorFlow Tensors
Check for element wise equality between two TensorFlow Tensors by using the TensorFlow equal operator to do the comparison.
5:08

Create A TensorFlow Tensor Full of Ones
Create a TensorFlow Constant Tensor full of ones so that each element is a one using the TensorFlow Ones operation.
2:40

Create A TensorFlow Tensor Full of Zeros
Create a TensorFlow Constant Tensor full of zeros so that each element is a zero using the TensorFlow Zeros operation.
2:52

Calculate Column Sum In TensorFlow
Do a column sum in TensorFlow using tf.reduce_sum to get the sum of all of the elements in the columns of a Tensor
3:33

Use TensorFlow Constant Initializer To Do Simple Initialization
Use the TensorFlow constant_initializer operation to do a simple TensorFlow Variable creation such that the initialized values of the variable get the value that you pass into it.
2:58

Initialize A TensorFlow Variable With NumPy Values
Initialize a TensorFlow Variable with NumPy values by using TensorFlow's get_variable operation and setting the Variable initializer to the NumPy values
3:15

Create A TensorFlow Constant Tensor Populated With A Scalar Value
Create a TensorFlow Constant Tensor populated with a scalar value by using the TensorFlow Constant operation as well as defining the shape and data type
3:16

Sum A List Of TensorFlow Tensors
Sum a list of TensorFlow Tensors using the TensorFlow add_n operation so that you can add more than two TensorFlow Tensors together at the same time
3:55

Initialize TensorFlow Variable As Identity Matrix
Initialize a TensorFlow Variable as the identity matrix of the shape of your choosing using the TensorFlow Variable Functionality and the Tensorflow Eye Functionality
3:11

Create An Identity Matrix Using TensorFlow
Create An Identity Matrix Using The TensorFlow Eye Functionality
3:03

Create A TensorFlow Placeholder Tensor
Create A TensorFlow Placeholder Tensor and then when it needs to be evaluated pass a NumPy multidimensional array into the feed_dict so that the values are used within the TensorFlow session
4:39

Transfer A 1D Tensor To A Vector Using TensorFlow
Transfer a 1D Tensor to a Vector using the TensorFlow squeeze transformation to remove the dimension of size 1 from the shape of the tensor
2:48

Calculate The ElementWise Hadamard Multiplication Of Matrices In PyTorch
Calculate the ElementWise multiplication of matrices in PyTorch to get the Hadamard Product
2:59

Add Two TensorFlow Tensors Together
Add two TensorFlow Tensors together by using the TensorFlow add operation
2:57

Get A TensorFlow Tensor By Name
Get A TensorFlow Tensor By Name by using the TensorFlow get_default_graph operation and then the TensorFlow get_tensor_by_name operation
2:32

Use feed_dict To Feed Values To TensorFlow Placeholders
Use feed_dict to feed values to TensorFlow placeholders so that you don't run into the error that says you must feed a value for placeholder tensors
3:35

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

Calculate Mean of A Tensor Along An Axis Using TensorFlow
Calculate the mean of tensor elements along various dimensions of the tensor using TensorFlow by using the reduce_mean operation
4:32

Initialize TensorFlow Variables That Depend On Other TensorFlow Variables
Initialize TensorFlow Variables That Depend On Other TensorFlow Variables by using the TensorFlow initialized_value functionality
5:00

Convert MXNet NDArray to NumPy Multidimensional Array
Convert an MXNet NDArray to a NumPy Multidimensional Array so that it retains the specific data type using the asnumpy MXNet function
2:40

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

Calculate Max Of A Tensor Along An Axis Using TensorFlow
Calculate the max of a TensorFlow tensor along a certain axis of the tensor using the TensorFlow reduce_max operation
6:24

Calculate Max Of A TensorFlow Tensor
Calculate the max of a TensorFlow tensor using the TensorFlow reduce_max operation
2:34

Use TensorFlow reshape To Convert A Tensor To A Vector
Use TensorFlow reshape to convert a tensor to a vector by understanding the two arguments you must pass to the reshape operation and how the special value of negative one flattens the input tensor.
4:18

Convert NumPy Array To MXNet NDArray
Convert A NumPy Multidimensional Array to an MXNet NDArray so that it retains the specific data type
3:47

Convert A PyTorch Tensor To A Numpy Multidimensional Array
Convert A PyTorch Tensor To A Numpy Multidimensional Array so that it retains the specific data type
3:57

Print The Value Of A Tensor Object In TensorFlow
Print the value of a tensor object in TensorFlow by understanding the difference between building the computational graph and running the computational graph
3:36

Concatenate TensorFlow Tensors Along A Given Dimension
Concatenate TensorFlow tensors along a given dimension using the TensorFlow concatenation concat functionality and then check the shape of the concatenated tensor using the TensorFlow shape functionality
4:55

Generate A Random Tensor In Tensorflow
Generate a random tensor in TensorFlow so that you can use it and maintain it for further use even if you call session run multiple times.
4:09

Create A PyTorch Variable
Create A PyTorch Variable which wraps a PyTorch Tensor and records operations applied to it.
1:36

Convert A NumPy Array To A PyTorch Tensor
Convert a NumPy Array into a PyTorch Tensor so that it retains the specific data type
1:53

Concatenate PyTorch Tensors Along A Given Dimension
Concatenate A List of PyTorch Tensors Along A Given Dimension
4:45


Print And Check PyTorch Tensor Type
Print out the PyTorch Tensor type without printing out the whole PyTorch Tensor.
1:42

Construct a PyTorch Tensor
Create an uninitialized PyTorch Tensor and an initialized PyTorch Tensor.
1:49