Deep learning in 5 minutes | What is deep learning?

AssemblyAI · Beginner ·📐 ML Fundamentals ·4y ago

Key Takeaways

This video introduces the fundamentals of deep learning and its applications in machine translation, recommendations, and face recognition

Original Description

Deep Learning powers most of the technologies we rely on every day. From Machine Translation that can translate web pages in seconds to recommendations of shows to watch or even face recognition that lets us log in to our phones many times a day. Even though we use it every day, it might still not be clear to you how deep learning works. Let's dive into the behind-the-scenes of deep learning in this video. Get your free speech-to-text API token 👇 https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_mis_1 In this video, we will take a closer look at deep learning. We will learn what deep learning is, where in the world of Artificial Intelligence it stands, why it has been very successful in becoming part of our lives, and how it compares to more traditional machine learning algorithms.
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Playlist

Uploads from AssemblyAI · AssemblyAI · 6 of 60

1 Python Speech Recognition in 5 Minutes
Python Speech Recognition in 5 Minutes
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2 Python Click Part 1 of 4
Python Click Part 1 of 4
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3 Python Click Part 2 of 4
Python Click Part 2 of 4
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4 Python Click Part 3 of 4
Python Click Part 3 of 4
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5 Python Click Part 4 of 4
Python Click Part 4 of 4
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Deep learning in 5 minutes | What is deep learning?
Deep learning in 5 minutes | What is deep learning?
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7 How to make a web app that transcribes YouTube videos with Streamlit | Part 1
How to make a web app that transcribes YouTube videos with Streamlit | Part 1
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8 How to make a web app that transcribes YouTube videos with Streamlit | Part 2
How to make a web app that transcribes YouTube videos with Streamlit | Part 2
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9 Batch normalization | What it is and how to implement it
Batch normalization | What it is and how to implement it
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10 Real-time Speech Recognition in 15 minutes with AssemblyAI
Real-time Speech Recognition in 15 minutes with AssemblyAI
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11 Regularization in a Neural Network | Dealing with overfitting
Regularization in a Neural Network | Dealing with overfitting
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12 Add speech recognition to your Streamlit apps in 5 minutes
Add speech recognition to your Streamlit apps in 5 minutes
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13 Transformers for beginners | What are they and how do they work
Transformers for beginners | What are they and how do they work
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14 Automatic Chapter Detection With AssemblyAI | Python Tutorial
Automatic Chapter Detection With AssemblyAI | Python Tutorial
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15 Deep Learning Series Part 1 - What is Deep Learning?
Deep Learning Series Part 1 - What is Deep Learning?
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16 Deep Learning Series part 2 - Why is it called “Deep Learning”?
Deep Learning Series part 2 - Why is it called “Deep Learning”?
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17 Activation Functions In Neural Networks Explained | Deep Learning Tutorial
Activation Functions In Neural Networks Explained | Deep Learning Tutorial
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18 Deep Learning Series part 3 - Deep Learning vs. Machine Learning
Deep Learning Series part 3 - Deep Learning vs. Machine Learning
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19 Deep Learning Series part 4 - Why is Deep Learning better for NLP?
Deep Learning Series part 4 - Why is Deep Learning better for NLP?
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20 Intro to Batch Normalization Part 1
Intro to Batch Normalization Part 1
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21 Intro to Batch Normalization Part 2
Intro to Batch Normalization Part 2
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22 Intro to Batch Normalization Part 3 - What is Normalization?
Intro to Batch Normalization Part 3 - What is Normalization?
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23 Intro to Batch Normalization Part 4
Intro to Batch Normalization Part 4
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24 Intro to Batch Normalization Part 5
Intro to Batch Normalization Part 5
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25 Sentiment Analysis for Earnings Calls with AssemblyAI
Sentiment Analysis for Earnings Calls with AssemblyAI
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26 Summarizing my favorite podcasts with Python
Summarizing my favorite podcasts with Python
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27 Introduction to Regularization
Introduction to Regularization
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28 How/Why Regularization in Neural Networks?
How/Why Regularization in Neural Networks?
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29 Getting Started With Torchaudio | PyTorch Tutorial
Getting Started With Torchaudio | PyTorch Tutorial
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30 Types of Regularization
Types of Regularization
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31 Tuning Alpha in L1 and L2 Regularization
Tuning Alpha in L1 and L2 Regularization
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32 Dropout Regularization
Dropout Regularization
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33 What is GPT-3 and how does it work? | A Quick Review
What is GPT-3 and how does it work? | A Quick Review
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34 Backpropagation For Neural Networks Explained | Deep Learning Tutorial
Backpropagation For Neural Networks Explained | Deep Learning Tutorial
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35 Jupyter Notebooks Tutorial | How to use them & tips and tricks!
Jupyter Notebooks Tutorial | How to use them & tips and tricks!
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36 Best Free Speech-To-Text APIs and Open Source Libraries
Best Free Speech-To-Text APIs and Open Source Libraries
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37 Regularization - Early stopping
Regularization - Early stopping
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38 Regularization - Data Augmentation
Regularization - Data Augmentation
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39 Bias and Variance for Machine Learning | Deep Learning
Bias and Variance for Machine Learning | Deep Learning
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40 Recurrent Neural Networks (RNNs) Explained - Deep Learning
Recurrent Neural Networks (RNNs) Explained - Deep Learning
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41 What is BERT and how does it work? | A Quick Review
What is BERT and how does it work? | A Quick Review
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42 Introduction to Transformers
Introduction to Transformers
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43 Transformers | What is attention?
Transformers | What is attention?
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44 Transformers | how attention relates to Transformers
Transformers | how attention relates to Transformers
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45 Transformers | Basics of Transformers
Transformers | Basics of Transformers
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46 Supervised Machine Learning Explained For Beginners
Supervised Machine Learning Explained For Beginners
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47 Transformers | Basics of Transformers Encoders
Transformers | Basics of Transformers Encoders
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48 Transformers | Basics of Transformers I/O
Transformers | Basics of Transformers I/O
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49 How to evaluate ML models | Evaluation metrics for machine learning
How to evaluate ML models | Evaluation metrics for machine learning
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50 Unsupervised Machine Learning Explained For Beginners
Unsupervised Machine Learning Explained For Beginners
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51 Weight Initialization for Deep Feedforward Neural Networks
Weight Initialization for Deep Feedforward Neural Networks
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52 Q-Learning Explained - Reinforcement Learning Tutorial
Q-Learning Explained - Reinforcement Learning Tutorial
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53 Should You Use PyTorch or TensorFlow in 2022?
Should You Use PyTorch or TensorFlow in 2022?
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54 What is Layer Normalization? | Deep Learning Fundamentals
What is Layer Normalization? | Deep Learning Fundamentals
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55 I created a Python App to study FASTER
I created a Python App to study FASTER
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56 How to create your FIRST NEURAL NETWORK with TensorFlow!
How to create your FIRST NEURAL NETWORK with TensorFlow!
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57 Neural Networks Summary: All hyperparameters
Neural Networks Summary: All hyperparameters
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58 Getting Started with OpenAI API and GPT-3 | Beginner Python Tutorial
Getting Started with OpenAI API and GPT-3 | Beginner Python Tutorial
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59 Convert Speech-To-Text In Python in 60 seconds!
Convert Speech-To-Text In Python in 60 seconds!
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60 Gradient Clipping for Neural Networks | Deep Learning Fundamentals
Gradient Clipping for Neural Networks | Deep Learning Fundamentals
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