Edited, memorised or added to reading queue

on 23-Jul-2025 (Wed)

Do you want BuboFlash to help you learning these things? Click here to log in or create user.

Flashcard 7716942515468

Tags
#tensorflow #tensorflow-certificate
Question

Bag of tricks to improve model

  1. Create model - more layers, more [...], different activation
Answer
neurons

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
Bag of tricks to improve model Create model - more layers, more neurons, different activation

Original toplevel document

TfC_02_classification-PART_1
nse(10, activation='relu'), tf.keras.layers.Dense(1, activation='sigmoid') ]) model.compile(optimizer=tf.keras.optimizers.Adam(), loss=tf.keras.losses.binary_crossentropy, metrics=['accuracy']) <span>Bag of tricks to improve model Create model - more layers, more neurons, different activation Compile mode - other loss, other optimizer, change optimizer parameters Fit the model - more epochs, more data examples # plots model predictions agains true data import numpy as np def plot_decision_boundry(model, X, y): """ Take in a trained model, features and labels and create numpy.meshgrid of the d







Flashcard 7716944612620

Tags
#deep-learning #keras #lstm #python #sequence
Question

We can summarize the 3 key benefits of LSTMs as:

3. Process input sequences and output sequences time step by time step, allowing [...] length inputs and outputs

Answer
variable

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
We can summarize the 3 key benefits of LSTMs as: 3. Process input sequences and output sequences time step by time step, allowing variable length inputs and outputs

Original toplevel document (pdf)

cannot see any pdfs







Flashcard 7716945923340

Tags
#deep-learning #keras #lstm #python #sequence
Question

We can summarize the 3 key benefits of LSTMs as:

3. Process input sequences and output sequences time step by time step, allowing [...] inputs and outputs

Answer
variable length

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
We can summarize the 3 key benefits of LSTMs as: 3. Process input sequences and output sequences time step by time step, allowing variable length inputs and outputs

Original toplevel document (pdf)

cannot see any pdfs