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Flashcard 7624064896268

Tags

#tensorflow #tensorflow-certificate

Question

from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense
import numpy as np

model = [...](Dense(1, input_shape=[1]))
model.compile(optimizer='sgd', loss='mean_squared_error')
xs = np.array([1,5,12,-1,10], dtype=float)
ys = np.array([5,13,27,1,23], dtype=float)
model.fit(xs, ys, epochs=500)
model.predict(x=[15])

Answer

Sequential

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scheduled repetition interval		last repetition or drill

Tensorflow basics - typical flow of model building
from tensorflow.keras import Sequential from tensorflow.keras.layers import Dense import numpy as np model = Sequential(Dense(1, input_shape=[1])) model.compile(optimizer='sgd', loss='mean_squared_error') xs = np.array([1,5,12,-1,10], dtype=float) ys = np.array([5,13,27,1,23], dtype=float) model.fit(xs,

Annotation 7624228736268

Tensors fundamentals - creating tensors

#tensorflow #tensorflow-certificate

# Create matrix
another_matrix = tf.constant([[10. ,66.],
                              [5. , 9.],
                              [13. , 4.]], dtype=tf.float16)
another_matrix


<tf.Tensor: shape=(3, 2), dtype=float16, numpy=
array([[10., 66.],
       [ 5.,  9.],
       [13.,  4.]], dtype=float16)>


another_matrix.ndim
2

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last reprioritisation on		suggested re-reading day
started reading on		finished reading on

Flashcard 7624230571276

Tags

#tensorflow #tensorflow-certificate

Question

# Create matrix
another_matrix = tf.constant([[10. ,66.],
                              [5. , 9.],
                              [13. , 4.]], dtype=tf.float16)
another_matrix


<tf.Tensor: shape=(3, 2), dtype=float16, numpy=
array([[10., 66.],
       [ 5.,  9.],
       [13.,  4.]], dtype=float16)>


another_matrix.[...]
2

Answer

ndim

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Tensors fundamentals - creating tensors
0. ,66.], [5. , 9.], [13. , 4.]], dtype=tf.float16) another_matrix <tf.Tensor: shape=(3, 2), dtype=float16, numpy= array([[10., 66.], [ 5., 9.], [13., 4.]], dtype=float16)> another_matrix.<span>ndim 2 <span>

Flashcard 7624232144140

Tags

#tensorflow #tensorflow-certificate

Question

# Create matrix
another_matrix = tf.constant([[10. ,66.],
                              [5. , 9.],
                              [13. , 4.]], dtype=tf.float16)
another_matrix


<tf.Tensor: shape=[...], dtype=float16, numpy=
array([[10., 66.],
       [ 5.,  9.],
       [13.,  4.]], dtype=float16)>


another_matrix.ndim
2

Answer

(3, 2)

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scheduled repetition interval		last repetition or drill

Tensors fundamentals - creating tensors
# Create matrix another_matrix = tf.constant([[10. ,66.], [5. , 9.], [13. , 4.]], dtype=tf.float16) another_matrix <tf.Tensor: shape=(3, 2), dtype=float16, numpy= array([[10., 66.], [ 5., 9.], [13., 4.]], dtype=float16)> another_matrix.ndim 2

Flashcard 7624233192716

Tags

#tensorflow #tensorflow-certificate

Question

# Create matrix
another_matrix = tf.constant([[10. ,66.],
                              [5. , 9.],
                              [13. , 4.]], dtype=[...])
another_matrix


<tf.Tensor: shape=(3, 2), dtype=float16, numpy=
array([[10., 66.],
       [ 5.,  9.],
       [13.,  4.]], dtype=float16)>


another_matrix.ndim
2

Answer

tf.float16

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scheduled repetition interval		last repetition or drill

Flashcard 7624234241292

Tags

#tensorflow #tensorflow-certificate

Question

# Create matrix
another_matrix = tf.constant([[10. ,66.],
                              [5. , 9.],
                              [13. , 4.]], dtype=tf.float16)
another_matrix


<tf.[...]: shape=(3, 2), dtype=float16, numpy=
array([[10., 66.],
       [ 5.,  9.],
       [13.,  4.]], dtype=float16)>


another_matrix.ndim
2

Answer

Tensor

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Flashcard 7624235289868

Tags

#tensorflow #tensorflow-certificate

Question

# Create matrix
another_matrix = tf.[...]([[10. ,66.],
                              [5. , 9.],
                              [13. , 4.]], dtype=tf.float16)
another_matrix


<tf.Tensor: shape=(3, 2), dtype=float16, numpy=
array([[10., 66.],
       [ 5.,  9.],
       [13.,  4.]], dtype=float16)>


another_matrix.ndim
2

Answer

constant

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Flashcard 7624236338444

Tags

#tensorflow #tensorflow-certificate

Question

# Create matrix
another_matrix = tf.constant([[10. ,66.],
                              [5. , 9.],
                              [13. , 4.]], dtype=tf.float16)
another_matrix


<tf.Tensor: [...]=(3, 2), dtype=float16, numpy=
array([[10., 66.],
       [ 5.,  9.],
       [13.,  4.]], dtype=float16)>


another_matrix.ndim
2

Answer

shape

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repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Flashcard 7624237387020

Tags

#tensorflow #tensorflow-certificate

Question

# Create matrix
another_matrix = tf.constant([[10. ,66.],
                              [5. , 9.],
                              [13. , 4.]], [...]=tf.float16)
another_matrix


<tf.Tensor: shape=(3, 2), dtype=float16, numpy=
array([[10., 66.],
       [ 5.,  9.],
       [13.,  4.]], dtype=float16)>


another_matrix.ndim
2

Answer

dtype

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scheduled repetition interval		last repetition or drill

Annotation 7624246562060

Tensorflow basics

#tensorflow #tensorflow-certificate

changeable_tensor = tf.Variable([10, 7])

changeable_tensor[0] = 77

Output:
TypeError: 'ResourceVariable' object does not support item assignment


changeable_tensor[0].assign(77)

Output:
<tf.Variable 'UnreadVariable' shape=(2,) dtype=int32, numpy=array([77,  7], dtype=int32)>

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last reprioritisation on		suggested re-reading day
started reading on		finished reading on

Flashcard 7624248397068

Tags

#tensorflow #tensorflow-certificate

Question

changeable_tensor = tf.[...]([10, 7])

changeable_tensor[0] = 77

Output:
TypeError: 'ResourceVariable' object does not support item assignment


changeable_tensor[0].assign(77)

>

Answer

Variable

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Tensorflow basics
changeable_tensor = tf.Variable([10, 7]) changeable_tensor[0] = 77 Output: TypeError: 'ResourceVariable' object does not support item assignment changeable_tensor[0].assign(77) Output: <tf.Variable 'UnreadVariable'

Flashcard 7624249969932

Tags

#tensorflow #tensorflow-certificate

Question

changeable_tensor = tf.Variable([10, 7])

changeable_tensor[0] = 77

Output:
TypeError: 'ResourceVariable' object does not support item assignment


changeable_tensor[0].[...]

Output:
<tf.Variable 'UnreadVariable' shape=(2,) dtype=int32, numpy=array([77,  7], dtype=int32)>

Answer

assign(77)

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Flashcard 7624251018508

Tags

#tensorflow #tensorflow-certificate

Question

changeable_tensor = tf.Variable([10, 7])

changeable_tensor[0] [...]

Output:
TypeError: 'ResourceVariable' object does not support item assignment


changeable_tensor[0].assign(77)

Output:
<tf.Variable 'UnreadVariable' shape=(2,) dtype=int32, numpy=array([77,  7], dtype=int32)>

Answer

= 77

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Flashcard 7624252067084

Tags

#tensorflow #tensorflow-certificate

Question

changeable_tensor = tf.Variable([10, 7])

changeable_tensor[0] = 77

Output:
TypeError: 'ResourceVariable' object does not support item assignment


changeable_tensor[0].assign(77)

Output:
<tf.Variable 'UnreadVariable' shape=(2,) dtype=int32, numpy=array([[...]], dtype=int32)>

Answer

77, 7

status	not learned	measured difficulty	37% [default]	last interval [days]
repetition number in this series	0	memorised on		scheduled repetition
scheduled repetition interval		last repetition or drill

Tensorflow basics
= 77 Output: TypeError: 'ResourceVariable' object does not support item assignment changeable_tensor[0].assign(77) Output: <tf.Variable 'UnreadVariable' shape=(2,) dtype=int32, numpy=array([<span>77, 7], dtype=int32)> <span>

Edited, memorised or added to reading queue

on 13-Apr-2024 (Sat)