Categories
Course Content
01 Introduction
0/2
001 Introduction
03:30
002 Course Resources
02 Setting up Python and Jupyter Notebook
0/10
003 Installing Python and Anaconda
03:05
004 This is a milestone
03:32
005 Opening Jupyter Notebook
09:06
006 Introduction to Jupyter
13:27
007 Arithmetic operators in Python Python Basics
04:28
008 Strings in Python Python Basics
19:07
009 Lists Tuples and Directories Python Basics
18:41
010 Working with Numpy Library of Python
11:54
011 Working with Pandas Library of Python
09:15
012 Working with Seaborn Library of Python
08:57
03 Single Cells – Perceptron and Sigmoid Neuron
0/3
013 Perceptron
09:47
014 Activation Functions
07:30
015 Python – Creating Perceptron model
14:10
04 Neural Networks – Stacking cells to create network
0/3
016 Basic Terminologies
09:47
017 Gradient Descent
12:17
018 Back Propagation
22:27
05 Important concepts Common Interview questions
0/1
019 Some Important Concepts
12:44
06 Standard Model Parameters
0/1
020 Hyperparameters
08:19
07 Tensorflow and Keras
0/2
021 Keras and Tensorflow
03:04
022 Installing Tensorflow and Keras
04:04
08 Python – Dataset for classification problem
0/2
023 Dataset for classification
07:19
024 Normalization and Test-Train split
05:59
09 Python – Building and training the Model
0/4
025 Different ways to create ANN using Keras
01:58
026 Building the Neural Network using Keras
12:24
027 Compiling and Training the Neural Network model
10:34
028 Evaluating performance and Predicting using Keras
09:21
10 Saving and Restoring Models
0/1
029 Saving – Restoring Models and Using Callbacks
19:49
11 Hyperparameter Tuning
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030 Hyperparameter Tuning
09:05
15 Project Creating CNN model from scratch
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041 Project – Introduction
07:04
042 Data for the project
043 Project – Data Preprocessing in Python
09:19
044 Project – Training CNN model in Python
09:05
045 Project in Python – model results
03:07
external-assets-links
18 Transfer Learning in Python
0/1
053 Project – Transfer Learning – VGG16
19:40
19 Bonus Section
0/2
054 The final milestone
01:33
055 Congratulations About your certificate
Convolutional Neural Networks in Python. CNN Computer Vision
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