Machine Learning with Python Course and E-Book Bundle

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Deep Learning with TensorFlow

Packt Publishing

22 Lessons (2h)

Lifetime

Certification included
Experience level required: All levels
Access 22 lectures & 2 hours of content 24/7
Length of time users can access this course: Lifetime

Course Curriculum

22 Lessons (2h)

Getting Started
The Course Overview2:59
Installing TensorFlow.5:33
Simple Computations5:31
Logistic Regression Model Building6:58
Logistic Regression Training4:53
Deep Neural Networks
Basic Neural Nets5:16
Single Hidden Layer Model5:06
Single Hidden Layer Explained4:32
Multiple Hidden Layer Model5:22
Multiple Hidden Layer Results4:43
Convolutional Neural Networks
Convolutional Layer Motivation5:03
Convolutional Layer Application6:55
Pooling Layer Motivation3:58
Pooling Layer Application4:17
Deep CNN6:28
Deeper CNN4:08
Wrapping Up Deep CNN4:55
Recurrent Neural Networks
Introducing Recurrent Neural Networks9:02
skflow9:19
RNNs in skflow4:04
Wrapping Up
Research Evaluation6:55
The Future of TensorFlow4:18

Deep Learning with TensorFlow

Packt PublishingDan Van Boxel is a Data Scientist and Machine Learning Engineer with over 10 years of experience. He is most well-known for "Dan Does Data," a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research and presented findings at the Transportation Research Board and other academic journals.

Description

Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models, and is one of the most important new frontiers in technology. TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. Over this course you'll explore some of the possibilities of deep learning, and how to use TensorFlow to process data more effectively than ever.

Access 22 lectures & 2 hours of content 24/7
Discover the efficiency & simplicity of TensorFlow
Process & change how you look at data
Sift for hidden layers of abstraction using raw data
Train your machine to craft new features to make sense of deeper layers of data
Explore logistic regression, convolutional neural networks, recurrent neural networks, high level interfaces, & more