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Tensorflow Masterclass For Machine Learning and Artificial Intelligence in Python
Introduction to the Course
Welcome to the World of TensorFlow
Data
Instructions for installing Tensorflow
Introduction to Python Data Science Packages
Commonly Used Python Data Science Packages
What is 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 Preprocessing (4:30)
Introduction to Tensorflow
Start With Tensorflow (2:36)
Start With Tensorflow Computational Graphs (2:56)
Common Mathematical Operations
A Brief Tensorflow Session (4:37)
Interactive Tensorflow Session (1:38)
Constants and Variables in Tensorflow (3:42)
TensorBoard Visualize Graphs in TensorFlow (2:44)
Access TensorBoard Graphs (2:55)
Some Preliminary Tensorflow and Keras Applications
ORDIN~1 (10:44)
OLS From First Principles (9:22)
Visualize the Results of OLS (3:28)
OLSWI~1 (5:08)
Estimate With Tensorflow Estimators (3:05)
MULTI~1 (5:24)
More on Linear Regressor Estimator (8:24)
GLM Generalized Linear Model (5:25)
LINEA~1 (9:33)
ACCU~1 (4:19)
LINE~1 (8:15)
Some Basic Concepts
WHATA~1 (9:17)
Unsupervised and Supervised Learning With Tensorflow
What is Unsupervised Learning (5:32)
K-means Clustering Theory (5:45)
Implement K-Means on Real Data (5:37)
Softmax Classification (7:35)
Random Forests (RF) Theory (7:14)
RANDO~1 (7:09)
RANDO~1 (5:07)
Implement kNN (3:22)
Neural Network for Tensorflow & Keras
Multi Layer Perceptron (MLP) with Tensorflow (6:24)
Multi Layer Perceptron (MLP) With Keras (3:31)
Keras MLP For Binary Classification StackSkills (4:01)
Keras MLP for Multiclass Classification (6:01)
Keras MLP for Regression (3:27)
Deep Learning For Tensorflow & Keras
Deep Neural Network (DNN) Classifier With Tensorflow (6:47)
DEEPN~1 (8:12)
Deep Neural Network (DNN) Regression With Tensorflow (5:24)
Wide & Deep Learning (Tensorflow) (11:34)
DNN Classifier With Keras (3:30)
DNN Classifier With Keras-Example 2 (4:23)
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)
Keras MLP For Binary Classification StackSkills
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