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Applications of Deep Neural Networks Course Overview (1.1, Spring 2022)

Spring 2022 Version. Applications of deep neural networks is a course offered in a hybrid format by Washington University in St. Louis. This course introduces Keras deep neural networks and highlights applications that neural networks are particularly adept at handling compared to previous machine learning models. Deep learning is a group of exciting new technologies […]

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Two Minute Papers: Recurrent Neural Network Writes Music and Shakespeare Novels | Two Minute Papers #19

Artificial neural networks are powerful machine learning techniques that can learn to recognize images or paint in the style of Van Gogh. Recurrent neural networks offer a more general model that can learn input sequences and create output sequences. The resulting technique (Long Short-Term Memory in these examples) can write novels in the style of […]

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DeepMind’s AI Learns Superhuman Relational Reasoning | Two Minute Papers #168

The paper “A simple neural network module for relational reasoning” is available here: https://arxiv.org/abs/1706.01427 Details on our Patreon page: https://www.patreon.com/TwoMinutePapers More on Long Short-Term Memory: Recurrent Neural Network Writes Music and Shakespeare Novels – https://www.youtube.com/watch?v=Jkkjy7dVdaY Recurrent Neural Network Writes Sentences About Images – https://www.youtube.com/watch?v=e-WB4lfg30M Two Minute Papers Merch: US: http://twominutepapers.com/ EU/Worldwide: https://shop.spreadshirt.net/TwoMinutePapers/ WE WOULD LIKE […]

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Applications of Deep Neural Networks Class Session 11

The 11th class gives an overview of LSTM for NLP and speech recognition. Google speech recognition is introduced. Examples for TensorFlow. Jupyter notebooks, data files, and other information can be found at: https://sites.wustl.edu/jeffheaton/t81-558/ Source of this machine learning/AI Video

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56:02

AI for Content Creation with Debajyoti Ray – TWiML Talk #178

In today’s episode we’re joined by Debajyoti Ray, Founder and CEO of RivetAI, a startup producing AI-powered tools for storytellers and filmmakers. Rivet’s tools are inspired in part by the founders’ collaboration with the team that created Sunspring, a short, AI-written film starring Silicon Valley’s Thomas Middleditch, which you may have seen when it was […]

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Lecture 15: Recurrent Network, Stability Analysis and LSTMs

00:00 Recap 00:02:19 Exploding/Vanishing Gradients 00:09:14 LSTM 00:23:50 LSTM Computation Forward 00:32:00 LSTM Back propagation 00:55:16 … YouTube Source for this AI Video

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Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)

The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. We will talk about two recent improvement in the toolkit: LSTM quantization support and Quantization Aware Training support in Keras. Speakers: Pulkit Bhuwalka – Software Engineer Jian Li – Software Engineer Resources: TensorFlow model optimization → https://goo.gle/2YhqNPe […]

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Applications of Deep Neural Networks Course Overview (1.1, Fall 2020)

Fall 2020 Version. Applications of deep neural networks is a course offered in a hybrid format by Washington University in St. Louis. This course introduces Keras deep neural networks and highlights applications that neural networks are particularly adept at handling compared to previous machine learning models. Deep learning is a group of exciting new technologies […]

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The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen – TWiML Talk #240

Today we’re joined by Jos Van Der Westhuizen, PhD student in Engineering at Cambridge University. Jos’ research focuses on applying LSTMs, or Long Short-Term Memory neural networks, to biological data for various tasks. In our conversation, we discuss his paper The unreasonable effectiveness of the forget gate, in which he explores the various “gates” that […]

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Applications of Deep Neural Networks Course Overview (1.1, Fall 2019)

Fall 2019 Version. See latest here: https://youtu.be/taxS7a-goNs Applications of deep neural networks is a course offered in a hybrid format by Washington University in St. Louis. This course introduces Keras deep neural networks and highlights applications that neural networks are particularly adept at handling compared to previous machine learning models. Deep learning is a group […]

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203

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Applications of Deep Neural Networks Course Overview (1.1, Spring 2021)

Spring 2021 Version. Applications of deep neural networks is a course offered in a hybrid format by Washington University in St. Louis. This course introduces Keras deep neural networks and highlights applications that neural networks are particularly adept at handling compared to previous machine learning models. Deep learning is a group of exciting new technologies […]

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225

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Applications of Deep Neural Networks Course Overview (1.1, Fall 2021)

Fall 2021 Version. Applications of deep neural networks is a course offered in a hybrid format by Washington University in St. Louis. This course introduces Keras deep neural networks and highlights applications that neural networks are particularly adept at handling compared to previous machine learning models. Deep learning is a group of exciting new technologies […]

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Python Automation Projects With Machine Learning

In this Python Tutorial I share Automation Projects With Machine Learning. 🤖 AssemblyAI Speech-To-Text API: https://www.assemblyai.com/?utm_source=youtube&utm_medium=social&utm_campaign=pythonengineer * Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook 🎦 Python Automation Ideas: https://youtu.be/VLNcnROUTb8 🎦 NLP TensorFlow: https://youtu.be/kxeyoyrf2cM 📓 Kaggle NLP tutorial: https://www.kaggle.com/arunrk7/nlp-beginner-text-classification-using-lstm 📓 ML Notebooks available on Patreon: https://www.patreon.com/patrickloeber If you enjoyed this video, please subscribe to the channel: ▶️ […]

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TensorFlow Tutorial 08 – Classify Lego Star Wars Minifigures | Full Project Walkthrough

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! Part 08: Classify Star Wars Lego Figures | Full Project Walkthrough In this part we use a real image dataset from Kaggle with Lego Star Wars Minifigures and do a full project walkthrough. I show […]

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TensorFlow Tutorial 09 – Transfer Learning

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! Part 09: Transfer Learning In this part we improve our model from last time to classify Lego Star Wars Minifigures. We use Transfer Learning for this. A very simple yet powerful technique that uses a […]

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08:44

TensorFlow Tutorial 06 – Save & Load Models

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! Part 06: Save & Load Models In this part we learn how we can save and load our model. ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ 🪁 Code faster with Kite: https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=pythonengineer&utm_content=description-only * ✅ […]

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TensorFlow Tutorial 05 – Convolutional Neural Network (CNN)

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! Part 05: Convolutional Neural Network In this part we build our first convolutional neural network using the keras Sequential API. We learn how to build a model, how to train and evaluate the model, and […]

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TensorFlow Tutorial 03 – First Neural Network (Training, Evaluation & Prediction)

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! Part 03: First Neural Network (+ Training, Evaluation & Prediction) In this part we build our first deep neural network using the keras Sequential API. We learn how to build a model, how to train […]

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TensorFlow Tutorial 10 – Recurrent Neural Nets (RNN & LSTM & GRU)

Implement a Recurrent Neural Net (RNN) in Tensorflow! RNNs are a class of neural networks that is powerful for modeling sequence data such as time series or natural language. Learn how we can use the keras API and work with an input sequence. I also show you how easily we can switch to a gated […]

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10.2: Introduction to LSTM and GRU for Deep Learning (Module 10, Part 2)

Introduction to recurrent neural networks LSTM and GRU. This video is part of a course that is taught in a hybrid format at Washington University in St. Louis; however, all the information is online and you can easily follow along. T81-558: Application of Deep Learning, at Washington University in St. Louis Please subscribe and comment! […]

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03:18:48

TensorfFlow 2 Beginner Course (3 HOURS)

In this TensorFlow 2.0 Course you will learn everything you need to get started with this deep learning framework. The course is aimed at beginners and consists of 11 lessons with hands-on projects in-between, and the Keras API Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook 🪁 Code faster with Kite, AI-powered autocomplete that integrates into VS […]

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TensorFlow Tutorial 07 – Functional API + Multi-output Project

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! Part 07: Functional API In this part we learn we can use the functional API and the advantages of this approach. The Keras functional API is a way to create models that are more flexible […]

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TensorFlow Tutorial 02 – Tensor Basics – Beginner Course

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! Part 02: Tensor Basics In this part I show you how to use tensors. Tensors are the central object in the TensorFlow library. They are used to represent nd-arrays with GPU support and are designed […]

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TensorFlow Tutorial 04 – Linear Regression – Full Project Walkthrough

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! Part 04 – Linear Regression In this part we implement a full project with a Regression problem. We learn how to download, analyze, and preprocess data with pandas. We then build a simple Linear Model […]

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