Introduction to Neural Networks and Deep Learning Course
Expand your knowledge and skills in Neural Networks and Deep Learning with this online free course. Build and train deep neural networks for industry-related problems using key calculations that underlie deep learning
#machine_learning #datascience #datanalysis #neural_networks #deep_learning #ai #pythoasks.
Course Link
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Expand your knowledge and skills in Neural Networks and Deep Learning with this online free course. Build and train deep neural networks for industry-related problems using key calculations that underlie deep learning
#machine_learning #datascience #datanalysis #neural_networks #deep_learning #ai #pythoasks.
Course Link
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Great Learning
Neural Networks and Deep Learning - Free Course - Great Learning
Neural Networks and Deep Learning: Take up this free Deep Learning course and learn about its applications. Enrol today and get free online certificate.
Udacity Artificial Intelligence Course
Here's an interesting course where you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
Course Link: Enroll Now
#machine_learning #datascience #datanalysis #neural_networks #deep_learning #ai #python
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Here's an interesting course where you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
Course Link: Enroll Now
#machine_learning #datascience #datanalysis #neural_networks #deep_learning #ai #python
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Introduction to Tensorflow and Keras
Enroll in this TensorFlow and Keras course to gain in-depth knowledge of TensorFlow, Keras, Neural Networks, and CNN. Learn to solve Deep Learning problems through sample demonstrations.
Course Link
#machine_learning #datascience #datanalysis #neural_networks #deep_learning #ai #python
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Enroll in this TensorFlow and Keras course to gain in-depth knowledge of TensorFlow, Keras, Neural Networks, and CNN. Learn to solve Deep Learning problems through sample demonstrations.
Course Link
#machine_learning #datascience #datanalysis #neural_networks #deep_learning #ai #python
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Great Learning
Tensorflow and Keras Free Course With Certificate For Beginners
Learn Tensorflow and Keras From Basics In This Free Online Training. Tensorflow & Keras Course Is Taught Hands-On By Experts. Best For Beginners. Enroll In Tensorflow and Keras Free Course & Get Free Certificate!
500+ AI, Machine learning, Deep learning ,Computer vision, NLP Projects with code
Creator: ashishpatel26
Stars ⭐️: 10.7K
Forked By: 3.2K
GitHub Repo: Link
#data_science #deep_learning #nlp #data_analysis #machine_learning #computer_vision #ai #neural_networks
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Creator: ashishpatel26
Stars ⭐️: 10.7K
Forked By: 3.2K
GitHub Repo: Link
#data_science #deep_learning #nlp #data_analysis #machine_learning #computer_vision #ai #neural_networks
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GitHub
GitHub - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code: 500 AI Machine learning Deep…
500 AI Machine learning Deep learning Computer vision NLP Projects with code - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
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DIVE INTO DEEP LEARNING ||d2l.ai
Here's an Interactive deep learning book with code, math, and discussions.
Implemented with PyTorch, NumPy/MXNet, and TensorFlow.
Book Link : https://d2l.ai/
GitHub Repo: https://github.com/d2l-ai/d2l-en
Stars: 15.7K
Forks:3.4K
#deep_learning #pyTorch #numPy #MXNet #TensorFlow #neural_networks
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Here's an Interactive deep learning book with code, math, and discussions.
Implemented with PyTorch, NumPy/MXNet, and TensorFlow.
Book Link : https://d2l.ai/
GitHub Repo: https://github.com/d2l-ai/d2l-en
Stars: 15.7K
Forks:3.4K
#deep_learning #pyTorch #numPy #MXNet #TensorFlow #neural_networks
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Binary Classification: A Deep Learning Approach
Unlock the power to predict the future with binary classification. This tutorial will guide you through the process of distinguishing between two outcomes using Deep Learning.
Click Me
#deep_learning #classification
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Unlock the power to predict the future with binary classification. This tutorial will guide you through the process of distinguishing between two outcomes using Deep Learning.
Click Me
#deep_learning #classification
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Kaggle
Binary Classification
Explore and run machine learning code with Kaggle Notebooks | Using data from DL Course Data
Data Science Interview Resource
Looking to ace that Data Science Interview?
This resource got you covered 👌
It covers a wide range of topics from machine learning and deep learning to probability and statistics , python and SQL .
Link
Happy Learning 😃
#deep_learning #machine_learning #Data_Science #interview
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Looking to ace that Data Science Interview?
This resource got you covered 👌
It covers a wide range of topics from machine learning and deep learning to probability and statistics , python and SQL .
Link
Happy Learning 😃
#deep_learning #machine_learning #Data_Science #interview
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GitHub
GitHub - youssefHosni/Data-Science-Interview-Questions-Answers: Curated list of data science interview questions and answers
Curated list of data science interview questions and answers - youssefHosni/Data-Science-Interview-Questions-Answers
⭐️ 15 Best Machine Learning Cheat Sheet ⭐️
1- Supervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf
2- Unsupervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf
3- Deep Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf
4- Machine Learning Tips and Tricks
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf
5- Probabilities and Statistics
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf
6- Comprehensive Stanford Master Cheat Sheet
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf
7- Linear Algebra and Calculus
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf
8- Data Science Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf
9- Keras Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf
10- Deep Learning with Keras Cheat Sheet
https://github.com/rstudio/cheatsheets/raw/master/keras.pdf
11- Visual Guide to Neural Network Infrastructures
http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png
12- Skicit-Learn Python Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
13- Scikit-learn Cheat Sheet: Choosing the Right Estimator
https://scikit-learn.org/stable/tutorial/machine_learning_map/
14- Tensorflow Cheat Sheet
https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf
15- Machine Learning Test Cheat Sheet
https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/
#machine_learning #deep_learning #scikit-learn #keras
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1- Supervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf
2- Unsupervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf
3- Deep Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf
4- Machine Learning Tips and Tricks
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf
5- Probabilities and Statistics
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf
6- Comprehensive Stanford Master Cheat Sheet
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf
7- Linear Algebra and Calculus
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf
8- Data Science Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf
9- Keras Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf
10- Deep Learning with Keras Cheat Sheet
https://github.com/rstudio/cheatsheets/raw/master/keras.pdf
11- Visual Guide to Neural Network Infrastructures
http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png
12- Skicit-Learn Python Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
13- Scikit-learn Cheat Sheet: Choosing the Right Estimator
https://scikit-learn.org/stable/tutorial/machine_learning_map/
14- Tensorflow Cheat Sheet
https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf
15- Machine Learning Test Cheat Sheet
https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/
#machine_learning #deep_learning #scikit-learn #keras
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GitHub
stanford-cs-229-machine-learning/en/cheatsheet-supervised-learning.pdf at master · afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning - afshinea/stanford-cs-229-machine-learning
1000 Data Science Projects
you can run on the browser with IPython.
Explore from 1000+ ready code templates to kickstart your AI projects
⭐️Classification
⭐️Regression
⭐️Clustering
🔗 Source link
#ai #ml #data_science #deep_learning
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you can run on the browser with IPython.
Explore from 1000+ ready code templates to kickstart your AI projects
⭐️Classification
⭐️Regression
⭐️Clustering
🔗 Source link
#ai #ml #data_science #deep_learning
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Accelerating Deep Learning with GPUs (Login Required)
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
You can use accelerated hardware such as Google’s Tensor Processing Unit (TPU) or Nvidia GPU to accelerate your convolutional neural network computations time on the Cloud. These chips are specifically designed to support the training of neural networks, as well as the use of trained networks (inference). Accelerated hardware has recently been proven to significantly reduce training time.
🆓 Free Online Course
Rating⭐️: 4.7 out 5
🎬 video lesson
🏃♂️ Self paced
Duration ⏰: More than 7 hours worth of material
Source: cognitiveclass
🔗 Course Link
#deep_Learning
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Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
You can use accelerated hardware such as Google’s Tensor Processing Unit (TPU) or Nvidia GPU to accelerate your convolutional neural network computations time on the Cloud. These chips are specifically designed to support the training of neural networks, as well as the use of trained networks (inference). Accelerated hardware has recently been proven to significantly reduce training time.
🆓 Free Online Course
Rating⭐️: 4.7 out 5
🎬 video lesson
🏃♂️ Self paced
Duration ⏰: More than 7 hours worth of material
Source: cognitiveclass
🔗 Course Link
#deep_Learning
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cognitiveclass.ai
Accelerating Deep Learning with GPUs
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.