The Complete Convolutional Neural Network with Python 2022

Published 06/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 31 lectures (5h 57m) | Size: 2.48 GB

Deep Learning Convolutional Neural Network (CNN) – Keras & TensorFlow 2

What you’ll learn
DeepDream
Data augmentation
VGG
Inception
Data augmentation
Con2D
MaxPooling2D
EarlyStopping
Matplotlib
Confusion matrix
Pandas
Numpy
MinMaxScaler
Google Colab
Deep Learning.
Training Neural Network.
Splitting Data into Training Set and Test Set.
Testing Accuracy.
Confusion Matrix.
Make a Prediction.
Model compilation.

Requirements
Basic Python and machine learning knowledge is required

Description
Interested in the field of Machine Learning, Deep Learning, and Artificial Intelligence? Then this course is for you!

This course has been designed by a software engineer. I hope with the experience and knowledge I did gain throughout the years, I can share my knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way.

I will walk you step-by-step into Deep Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time, we dive deep into Recurrent Neural Network. Throughout the brand new version of the course, we cover tons of tools and technologies including

Deep Learning.

Google Colab

Keras.

Matplotlib.

Splitting Data into Training Set and Test Set.

Training Neural Network.

Model building.

Analyzing Results.

Model compilation.

Make a Prediction.

Testing Accuracy.

Confusion Matrix.

Autoencoder.

Numpy.

Pandas.

Tensorflow.

Sentiment Analysis.

Matplotlib.

DeepDream

Inception

Data Augmentation

Conv2D

MaxPooling2D

Early Stopping

VGG

MinMaxScaler.

Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are several projects for you to practice and build up your knowledge. These projects are listed below

CIFAR-10.

Image Combination.

Movie Review sentiment.

Clothing Image.

Who this course is for
Anyone interested in Deep Learning, Machine Learning and Artificial Intelligence
Students who have at least high school knowledge in math and who want to start learning Machine Learning, Deep Learning, and Artificial Intelligence
Any data analysts who want to level up in Machine Learning, Deep Learning and Artificial Intelligence.
Anyone passionate about Artificial Intelligence
Data Scientists who want to take their AI Skills to the next level