Goto

Collaborating Authors

Convolutional Neural Networks: Zero to Full Real-World Apps

@machinelearnbot

Get your team access to Udemy's top 2,500 courses anytime, anywhere. "The implementation part is very good and up-too the mark. The explanation step by step process is very good." (February 2018). "course done very well; everything is explained in detail; really satisfied!!!" (February 2018).


Udemy Code Convolutional Neural Networks: Zero to Full Real-World Apps

#artificialintelligence

"The implementation part is very good and up-too the mark. The explanation step by step process is very good." (February 2018). "course done very well; everything is explained in detail; really satisfied!!!" (February 2018). "Difficult topics are simply illustrated and therefore easy to understand." (January 2018).


Deep Learning for Beginners in Python: Work On 12+ Projects

#artificialintelligence

Get Coupon Code Hot & New What you'll learn Complete Understanding of Deep Learning from the Scratch Building the Artificial Neural Networks (ANNs) from the Scratch Artificial Neural Networks (ANNs) for Binary Data Classification Building Convolutional Neural Networks from the Scratch Convolutional Neural Network for Image Classification Convolutional Neural Network for Digit Recognition Breast Cancer Detection with Convolutional Neural Networks Convolutional Neural Networks for Predictive Analysis Convolutional Neural Networks for Fraud Detection Building the Recurrent Neural Networks (ANNs) from Scratch Review Classification with LSTM and GRU LSTM and GRU for Image Classification Prediction of Google Stock Price with RNN and LSTM Natural Language Processing Crash Course on Numpy (Data Analysis) Crash Course on Pandas (Data Analysis) Crash course on Matplotlib (Data Visualization) Description The Artificial Intelligence and Deep Learning are growing exponentially in today's world. There are multiple application of AI and Deep Learning like Self Driving Cars, Chat-bots, Image Recognition, Virtual Assistance, ALEXA, so on... With this course you will understand the complexities of Deep Learning in easy way, as well as you will have A Complete Understanding of Googles TensorFlow 2.0 Framework TensorFlow 2.0 Framework has amazing features that simplify the Model Development, Maintenance, Processes and Performance In TensorFlow 2.0 you can start the coding with Zero Installation, whether you're an expert or a beginner, in this course you will learn an end-to-end implementation of Deep Learning Algorithms List of the Projects that you will work on, Part 1: Artificial Neural Networks (ANNs) Project 1: Multiclass image classification with ANN Project 2: Binary Data Classification with ANN Part 2: Convolutional Neural Networks (CNNs) Project 3: Object Recognition in Images with CNN Project 4: Binary Image Classification with CNN Project 5: Digit Recognition with CNN Project 6: Breast Cancer Detection with CNN Project 7: Predicting the Bank Customer Satisfaction Project 8: Credit Card Fraud Detection with CNN Part 3: Recurrent Neural Networks (RNNs) Project 9: IMDB Review Classification with RNN - LSTM Project 10: Multiclass Image Classification with RNN - LSTM Project 11: Google Stock Price Prediction with RNN and LSTM Part 4: Transfer Learning Part 5: Natural Language Processing Basics of Natural Language Processing Project 12: Movie Review Classifivation with NLTK Part 6: Data Analysis and Data Visualization Crash Course on Numpy (Data Analysis) Crash Course on Pandas (Data Analysis) Crash course on Matplotlib (Data Visualization)


This High-Intensity 14.5 Hour Bundle Will Help You Help Computers Address Some of Humanity's Biggest Problems

#artificialintelligence

In this course, intended to expand upon your knowledge of neural networks and deep learning, you'll harness these concepts for computer vision using convolutional neural networks. Going in-depth on the concept of convolution, you'll discover its wide range of applications, from generating image effects to modeling artificial organs. Explore the StreetView House Number (SVHN) dataset using convolutional neural networks (CNNs) Build convolutional filters that can be applied to audio or imaging Extend deep neural networks w/ just a few functions Note: we strongly recommend taking The Deep Learning & Artificial Intelligence Introductory Bundle before this course. The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning.


Understand the next wave of technology with this four-course package on AI (91% off)

#artificialintelligence

Creating machines to think for themselves may feel like the plot of a hardcore sci-fi novel. But in reality, it's what engineers and software developers are doing today to push the boundaries of technology. This limited-time offer bundles up high-level instruction on how to actual construct self-learning machines for 91 percent off from TNW Deals. TNW Conference is back for its 12th year. In over 14 hours of instruction, these four courses take you deep inside the artificial intelligence tech that underlies advanced Google web searches and even Tesla's self-driving cars.