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.

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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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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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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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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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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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⭐️ 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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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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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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