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Convolution_model_Application. well explained

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Convolutional Neural Networks: Application Welcome to Course 4’s second assignment! In this notebook, you will: • Create a mood classifer using the TF Keras Sequential API • Build a ConvNet t... o identify sign language digits using the TF Keras Functional API After this assignment you will be able to: • Build and train a ConvNet in TensorFlow for a binary classification problem • Build and train a ConvNet in TensorFlow for a multiclass classification problem • Explain different use cases for the Sequential and Functional APIs To complete this assignment, you should already be familiar with TensorFlow. If you are not, please refer back to the TensorFlow Tutorial of the third week of Course 2 (“Improving deep neural networks”). 1.1 Table of Contents • Section ?? – Section ?? • Section ?? • Section ?? – Section ?? ∗ Section ?? – Section ?? • Section ?? – Section ?? – Section ?? – Section ?? ∗ Section ?? – Section ?? • Section ?? • Section ?? ## 1 - Packages As usual, begin by loading in the packages. 1 [1]: import math import numpy as np import h5py import matplotlib.pyplot as plt from matplotlib.pyplot import imread import scipy from PIL import Image import pandas as pd import tensorflow as tf import tensorflow.keras.layers as tfl from tensorflow.python.framework import ops from cnn_utils import * from test_utils import summary, comparator %matplotlib inline np.random.seed(1) ### 1.1 - Load the [Show More]

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