How AI is Taking over your Phone
Ever wonder how the smart phone in your pocket does what it does? It’s no secret that in the last few years phone makers have turned to machine learning and neural networks to do the hard stuff that we take for granted. This combined that with the custom GPU’s that power them and training data […]
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AI-Powered Cancer Screening Applications Managed with NVIDIA AI
One in eight women will develop breast cancer in their lifetime. The key to improving their outcomes is regular screenings and follow-ups. AI can dramatically speed up this process, but integrating AI solutions into existing infrastructure is complex. Because of that, more than half of AI projects never make it into production.
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Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
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Frank
- November 28, 2021
- AI
- artificial intelligence
- Arxiv
- backpropagation through algorithms
- Deep Learning
- deep learning discrete
- discrete backpropagation
- discrete deep learning
- explained
- gradient discrete
- gradient of an algorithm
- imle
- implicit mle
- Machine Learning
- maximum likelihood
- Neural Networks
- Paper
Backpropagation is the workhorse of deep learning, but unfortunately, it only works for continuous functions that are amenable to the chain rule of differentiation. Since discrete algorithms have no continuous derivative, deep networks with such algorithms as part of them cannot be effectively trained using backpropagation. This paper presents a method to incorporate a large […]
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Kevin Systrom on Instagram
Kevin Systrom is the co-founder and former CEO of Instagram and he sits down with Lex Fridman, Time stamps: 0:00 – Introduction 0:22 – Origin of Instagram 42:29 – New social networks 1:01:34 – Selling Instagram to Facebook 1:24:36 – Features 1:28:42 – Facebook 2:05:24 – Whistleblower 2:16:43 – Machine learning 2:26:41 – Advice for […]
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AI Applications in Fashion
The global fashion industry is valued at $3 trillion dollars industry and accounts for 2% of the world’s GDP. The fashion industry is undergoing dramatic transformation by adopting new Computer Vision and Machine/Deep learning techniques. In this video, explore 2 AI applications in fashion.
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Random Forest in Machine Learning
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Frank
- November 26, 2021
- edureka
- how to use random forest classifier in python
- how to use random forest in python
- python edureka
- Random Forest
- random forest algorithm
- random forest algorithm explained
- random forest algorithm in machine learning
- random forest in r
- random forest python
- random forest python code
- random forest python code from scratch
- random forest python example
- random forest python from scratch
- random forest python scikit example
- random forest python tutorial
This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used. Time stamps: 00:00 Introduction 01:16 What is Classification 02:34 What is Random Forest? 03:11 Why Random Forest? 07:36 Ensemble Learning 10:22 Random Forest Analogy 15:00 How good is your model?
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Are Neuromorphic Chips the Future of AI?
In this video learn why why Neuromorphic Chips are the future of AI, TIMESTAMPS: 00:00 – Intro 00:32 – Phenom AI day (Ad) 01:03 – What is Neuromorphic Chip 03:19 – Intel Loihi explained 07:16 – New Intel Loihi 2 09:45 – Analog Neuromorphic chip by Rain Neuromorphic 10:45 – Digital Neuromorphic chip SpiNNaker 13:15 […]
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New Video Upload : FWTV on 9 Show008
This was the final episode of FWTV on 9. It was recorded in August 2016.
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Challenges of Training Large-Scale Neural Networks
Here’s an interesting look at the unique challenges that present themselves when training large neural networks.
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New AI: Photos Go In, Reality Comes Out!
Two Minute Papers examines the paper “ADOP: Approximate Differentiable One-Pixel Point Rendering” in the following video.
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