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tf.transpose: Transpose A Matrix in TensorFlow

tf.transpose - Use TensorFlow's transpose operation to transpose a TensorFlow matrix tensor

2:23

Print and check tensorflow tensor type 280x158

tf.dtype: Print And Check TensorFlow Tensor Type

tf.dtype - Use TensorFlow's dtype operation to print and check a TensorFlow's Tensor data type

2:21

Get minimum value of a tensorflow tensor 280x158

tf.reduce_min: Get Minimum Value Of A TensorFlow Tensor

tf.reduce_min - Use TensorFlow's reduce_min operation to get the minimum value of a TensorFlow Tensor

1:42

Create tensorflow tensor with random uniform distribution 280x158

tf.random_uniform: Create TensorFlow Tensor With Random Uniform Distribution

Use TensorFlow's random_uniform operation to create a TensorFlow Tensor with a random uniform distribution

2:33

Flatten A TensorFlow Tensor

Use the TensorFlow reshape operation to flatten a TensorFlow Tensor

3:17

Print TensorFlow Tensor Shape

Use the TensorFlow get_shape operation to print the static shape of a TensorFlow tensor as a list

2:35

Print TensorFlow Version

Find out which version of TensorFlow is installed in your system by printing the TensorFlow version

1:16

List All Tensor Names In A TensorFlow Graph

Use the TensorFlow Get Operations Operation to list all Tensor names in a TensorFlow graph

4:40

Convert List To TensorFlow Tensor

Convert a python list into a TensorFlow Tensor using the TensorFlow convert_to_tensor functionality

2:21

Create TensorFlow Name Scopes For TensorBoard

Use TensorFlow Name Scopes (tf.name_scope) to group graph nodes in the TensorBoard web service so that your graph visualization is legible

6:04

Visualize TensorFlow Graph In TensorBoard

Use TensorFlow Summary File Writer (tf.summary.FileWriter) and the TensorBoard command line unitility to visualize a TensorFlow Graph in the TensorBoard web service

4:23

Launch TensorFlow TensorBoard

Use the TensorBoard command line utility to launch the TensorFlow TensorBoard web service

1:23

Create TensorFlow Summary File Writer For TensorBoard

Use TensorFlow Summary File Writer (tf.summary.FileWriter) to create a TensorFlow Summary Event File for TensorBoard

4:17

Generate TensorFlow Tensor Full Of Random Numbers In A Given Range

Generate TensorFlow Tensor full of random numbers in a given range by using TensorFlow's random_uniform operation

3:03

Use TensorFlow reshape To Infer Reshaped Tensor's New Dimensions

Use the TensorFlow reshape operation to infer a tensor's new dimensions when reshaping a tensor

6:28

Use TensorFlow reshape To Change The Shape Of A Tensor

Use TensorFlow reshape to change the shape of a TensorFlow Tensor as long as the number of elements stay the same

5:29

Multiply two matricies using tensorflow matmul 280x158

tf.matmul: Multiply Two Matricies Using TensorFlow MatMul

tf.matmul - Multiply two matricies by using TensorFlow's matmul operation

3:35

Calculate The Element-Wise Hadamard Multiplication Of Two TensorFlow Tensors

Calculate the element-wise Hadamard multiplication of two TensorFlow tensors by using tf.multiply

4:10

Stack a list of tensorflow tensors into one tensor 280x158

tf.stack: Stack A List of TensorFlow Tensors Into One Tensor

tf.stack - 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 280x158

tf.ones: Create A TensorFlow Tensor Full of Ones

tf.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 280x158

tf.zeros: Create A TensorFlow Tensor Full of Zeros

tf.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 280x158

tf.add_n: Sum A List Of TensorFlow Tensors

Use TensorFlow's tf.add_n operation to sum a list of tensors 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

tf.placeholder: Create A TensorFlow Placeholder Tensor

tf.placeholder - Create A TensorFlow Placeholder Tensor and then when it needs to be evaluated pass a NumPy multi-dimensional array into the feed_dict so that the values are used within the TensorFlow session

4:39

Transfer A 1-D Tensor To A Vector Using TensorFlow

Transfer a 1-D Tensor to a Vector using the TensorFlow squeeze transformation to remove the dimension of size 1 from the shape of the tensor

2:48

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

Calculate mean of a tensor along an axis using tensorflow 280x158

tf.reduce_mean: Calculate Mean of A Tensor Along An Axis Using TensorFlow

tf.reduce_mean - Use TensorFlow reduce_mean operation to calculate the mean of tensor elements along various dimensions of the tensor

4:32

Initialize tensorflow variables that depend on other tensorflow variables 280x158

TensorFlow Initialize Global Variables: Initialize TensorFlow Variables That Depend On Other TensorFlow Variables

TensorFlow Initialize Global Variables - Initialize TensorFlow Variables That Depend On Other TensorFlow Variables by using the TensorFlow initialized_value functionality

5:00

Calculate max of a tensor along an axis using tensorflow 280x158

tf.reduce_max: Calculate Max Of A Tensor Along An Axis Using TensorFlow

tf.reduce_max - Calculate the max of a TensorFlow tensor along a certain axis of the tensor using the TensorFlow reduce_max operation

6:24

Visualize Training Results With TensorFlow summary and TensorBoard

Visualize the training results of running a neural net model with TensorFlow summary and TensorBoard

4:09

Calculate max of a tensorflow tensor 280x158

TensorFlow Max: Use tf.reduce_max To Get Max Value Of A TensorFlow Tensor

TensorFlow Max - Use tf.reduce_max to get max value of a TensorFlow Tensor

2:34

Use tensorflow reshape to convert a tensor to a vector 280x158

tf.reshape: Use TensorFlow reshape To Convert A Tensor To A Vector

tf.reshape - 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

Add Layers To A Neural Network In TensorFlow

Add Multiple Layers to a Neural Network in TensorFlow by working through an example where you add multiple ReLU layers and one convolutional layer

4:19

Print the value of a tensor object in tensorflow 280x158

TensorFlow Print: Print The Value Of A Tensor Object In TensorFlow

TensorFlow Print - 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

Generate a random tensor in tensorflow 280x158

tf.concat: Concatenate TensorFlow Tensors Along A Given Dimension

tf.concat - Use tf.concat, TensorFlow's concatenation operation, to concatenate TensorFlow tensors along a given dimension

4:55

Save The State Of A TensorFlow Model With Checkpointing

Save The State Of A TensorFlow Model With Checkpointing Using The TensorFlow Saver Variable To Save The Session Into TensorFlow ckpt Files.

3:27

tf.random_uniform: Generate A Random Tensor In Tensorflow

tf.random_uniform - 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

Add Metrics Reporting To Improve Your TensorFlow Neural Network Model

Add Metrics Reporting to Improve Your TensorFlow Neural Network Model So You Can Monitor How Accuracy And Other Measures Evolve As You Change Your Model.

4:38

Train a one layer feed forward neural network in tensorflow 280x158

Train A One Layer Feed Forward Neural Network in TensorFlow With ReLU Activation

Train A One Layer Feed Forward Neural Network in TensorFlow With ReLU Activation, Softmax Cross Entropy with Logits, and the Gradient Descent Optimizer

3:00

Create a one layer feed forward neural network in tensorflow 280x158

Create A One Layer Feed Forward Neural Network In TensorFlow With ReLU Activation

Create a one layer feed forward neural network in TensorFlow with ReLU activation and understand the context of the shapes of the Tensors

2:04

Load the mnist data set in tensorflow 280x158

Load The MNIST Data Set in TensorFlow So That It Is In One Hot Encoded Format

Import the MNIST data set from the Tensorflow Examples Tutorial Data Repository and encode it in one hot encoded format.

2:29

Tensor to NumPy: NumPy Array To Tensorflow Tensor And Back

Tensor to NumPy - Convert a NumPy array to a Tensorflow Tensor as well as convert a TensorFlow Tensor to a NumPy array

1:30

TensorFlow Tutorial Screencast Videos

Watch these 50 TensorFlow deep learning tutorials