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Keras Bootcamp For Deep Learning and AI in Python
Introduction to the Course
What is Keras? (3:29)
Data and Code
Python Data Science Environment (10:57)
For Mac Users (4:05)
Install Keras on Windows 10 (5:16)
Install Keras with Mac (4:19)
Written Keras Installation Instructions
Introduction to Python Data Science Packages
Python Packages For Data Science (3:16)
Introduction to Numpy (3:46)
Create Numpy (10:51)
Numpy for Statistical Operations (7:23)
Introduction to Pandas (12:06)
Read in CSV (7:13)
Read in Excel (5:31)
Basic Data Cleaning (4:30)
Some Basic Concepts
What is Machine Learning? (5:32)
Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks) (9:17)
Unsupervised Learning With Tensorflow and Keras
What is Unsupervised Learning? (5:32)
Autoencoders for Unsupervised Classification (1:46)
Autoencoders in Keras (Simple) (5:43)
Autoencoders in Keras (Sparsity Constraints) (4:32)
Neural Network With Keras
Multi Layer Perceptron (MLP) With Keras (3:31)
Keras MLP For Binary Classification (4:01)
Keras MLP for Multiclass Classification (6:01)
Keras MLP for Regression (3:27)
Deep Learning For Tensorflow & Keras
DNN Classifier With Keras (3:30)
DNN Classifier With Keras-Example 2 (4:23)
Convolutional Neural Networks (CNN)
What are CNNs? (11:25)
Implement a CNN With Keras (4:04)
CNN on Image Data with Keras-Part 2 (5:05)
Autoencoders with Convolution Neural Networks (CNN)
Autoencoders With CNN-Tensorflow (7:15)
Autoencoders With CNN- Keras (4:46)
Recurrent Neural Network (RNN)
Introduction to RNN (5:40)
LSTM for Time Series (6:24)
LSTM for Stock Prices (7:21)
Numpy for Statistical Operations
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