TensorFlow 2.x Tutorial

How To Get Minimum Value From Tensors In TensorFlow?

In TensorFlow 2.0 Python Tutorial, We will Learn about the TensorFlow Math Module tf.minimum() function. We will learn how to calculate the minimum values from tensors in TensorFlow using tf.minimum() function. tf.minimum() : Returns the minimum value by comparing of x and y (i.e. x > y ? x : y) element-wise.It works with list, tuple, scaler, Numpy arraytf variable/constant/placeholder/SparceMatrix with …

How To Get Minimum Value From Tensors In TensorFlow? Read More »

How to Get Maximum Value from Tensors in TensorFlow?

In TensorFlow 2.0 Python Tutorial, We will Learn about the TensorFlow Math Module tf.maximum() function. We will learn how to calculate the maximum values from tensors in TensorFlow using tf.maximum() function. tf.maximum() : Returns the maximum value by comparing of x and y (i.e. x > y ? x : y) element-wise.It work with list, tuple, scaler, Numpy arraytf variable/constant/placeholder/SparceMatrix with …

How to Get Maximum Value from Tensors in TensorFlow? Read More »

How To Calculate Power Of Tensors In TensorFlow?

In TensorFlow 2.0 Python Tutorial, We will Learn about the TensorFlow Math Module tf.pow() function. We will learn how to calculate the power of tensors in TensorFlow using tf.pow() function. tf.pow(): Calculate the power of one value to another, Element wise power calculationIt can be given the power of scaler, Numpy arrayIt allow tf variable/constant/placeholder/SparceMatrix with Specific datatype Data …

How To Calculate Power Of Tensors In TensorFlow? Read More »

How to do division/divide of Tensors in TensorFlow?

In TensorFlow 2.0 Python Tutorial, We will Learn about the TensorFlow Math Module tf.divide() function. We will learn how to do the division of tensors in TensorFlow using tf.devide() function. tf.divide() : Do Element wise division,It can be divide scaler, Numpy array but not with list, tuple.tf variable/constant/placeholder/SparceMatrix with each other and with scaler and with list/tuple Note: / …

How to do division/divide of Tensors in TensorFlow? Read More »

How to Calculate Square Root of Tensors in TensorFlow?

In TensorFlow 2.0 Python Tutorial, We will Learn about the TensorFlow Math Module tf.sqrt() function. We will learn how to calculate the square root of tensors in TensorFlow using tf.sqrt() function. tf.sqrt() : Calculate Element wise square root of numpy array and TF tensor,It can be give sqrt of list, tuple, scalerIt allow tf variable/constant/placeholder/SparceMatrix with …

How to Calculate Square Root of Tensors in TensorFlow? Read More »

How To Multiplication Of 2 Tensors In TensorFlow?

We will learn how to do multiplication in TensorFlow using tf.multiply() function. tf.multiply() : Do Element wise Multiplication,It can be multiply list, tuple, scaler,tf variable/constant/placeholder/SparceMatrix with each other and with scaler and with list/tuple Note: * operator can be used to multiply 2 tensors Syntax: tf.multiply(x, y, name=None) Args x A Tensor. Must be one of the following types: bfloat16, half, float32, float64, uint8, int8, uint16, int16, int32, int64, complex64, complex128. …

How To Multiplication Of 2 Tensors In TensorFlow? Read More »

How To Subtraction of 2 Tensors In TensorFlow?

We will learn how to do suntraction in TensorFlow using tf.subtract() function. tf.subtract() : Do Element wise subtraction with x & yIt can subtract list, tuple, scaler, TensorFlow variable/constant/placeholder/SparceMatrix with each other and with scaler and with list/tuple. Note: – operator can be used to subtract 2 tensors Syntax: tf.subtract(x, y, name=None) Args x A Tensor. Must be one of the following …

How To Subtraction of 2 Tensors In TensorFlow? Read More »

How to addition/add 2 Tensors in TensorFlow?

We will learn how to do addition in TensorFlow using tf.add() function. tf.add() : Do Element wise Addition with x & yIt can add list, tuple, scaler, TensorFlow variable/constant/placeholder/SparceMatrix with each other and with scaler and with list/tuple. Note: + operator can be use to add 2 tensors Syntax: tf.add(x, y, name=None) Args x A tf.Tensor. Must …

How to addition/add 2 Tensors in TensorFlow? Read More »

Create Zeros vs Zeros _like vs Zeros _initializer Tensor Using TensorFlow 2.0 Python Tutorial

In TensorFlow 2.0, we can create Zeros Tensor(every element in tensor are zeros) in different ways using tf.zeros() and tf.zeros_like() and tf.zeros_initializer(). Create Zeros Tesnor using tf.zeros() Creates a tensor with all elements set to zero (0) Syntax: Create Zeros Tesnor using tf.zeros_like() Creates a tensor with all elements set to zero. Syntax: Create Zeros Tesnor using tf.zeros_initializer() Initializer that generates …

Create Zeros vs Zeros _like vs Zeros _initializer Tensor Using TensorFlow 2.0 Python Tutorial Read More »

tensorlfow-ones-tensor

Create Ones vs Ones_like vs Ones_initializer Tensor Using TensorFlow 2.0 Python Tutorial

In TensorFlow 2.0, we can create Ones Tensor(every element in tensor are ones) in different ways using tf.ones() and tf.ones_like() and tf.ones_initializer(). Create Ones Tesnor using tf.ones() Creates a tensor with all elements set to one (1) Syntax: Create Ones Tesnor using tf.ones_like() Creates a tensor of all ones that has the same shape as …

Create Ones vs Ones_like vs Ones_initializer Tensor Using TensorFlow 2.0 Python Tutorial Read More »