⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 17 Broadcasting in Python

Neural Networks and Deep Learning
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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#broadcasting #python

⭕️ How to Avoid Data Leakage When Performing Data Preparation

🔹A naive approach to preparing data applies the transform on the entire dataset before evaluating the performance of the model. This results in a problem referred to as data leakage, where knowledge of the hold-out test set leaks into the dataset used to train the model. This can result in an incorrect estimate of model performance when making predictions on new data.
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📌 Via: @cedeeplearnig

https://machinelearningmastery.com/data-preparation-without-data-leakage/

#machinelearning #AI
#neuralnetworks #deeplearning
#datascience #preprocessing
#datamining

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 18 A Note on Python Numpy Vectors

Neural Networks and Deep Learning
——————————
📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#numpy #python

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 19 Quick Tour of Jupyter iPython Notebooks

Neural Networks and Deep Learning
——————————
📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#jupyter #ipython

🔹The 5 Basic Statistics Concepts Data Scientists Need to Know

Statistics can be a powerful tool when performing the art of Data Science (DS). From a high-level view, statistics is the use of mathematics to perform technical analysis of data. A basic visualisation such as a bar chart might give you some high-level information, but with statistics we get to operate on the data in a much more information-driven and targeted way. The math involved helps us form concrete conclusions about our data rather than just guesstimating.
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📌Via: @cedeeplearning

link: https://towardsdatascience.com/the-5-basic-statistics-concepts-data-scientists-need-to-know-2c96740377ae

#statistics #datascience
#machinelearning
#tutorial #AI #python
#deeplearning

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 20 Explanation of Logistic Regression's Cost Function

Neural Networks and Deep Learning
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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #machinelearning #cost_function

🔹 Reinforcement Learning

Acme: A research framework for reinforcement learning

Github: https://github.com/deepmind/acme

Paper: https://arxiv.org/abs/2006.00979
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📌Via: @cedeeplearning

#deeplearning #machinelearning
#neuralnetworks #python #math
#statistics #reinforcement #Acme

⭕️ Fine-tuning ResNet with Keras, TensorFlow, and Deep Learning

In this tutorial, you will learn how to fine-tune #ResNet using #Keras, #TensorFlow, and Deep Learning.

https://www.pyimagesearch.com/2020/04/27/fine-tuning-resnet-with-keras-tensorflow-and-deep-learning/
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📌Via: @cedeeplearning

#machinelearning #AI
#deeplearning #neuralnetworks #math
#tutorial #free

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 21 Neural Network Overview

Neural Networks and Deep Learning
——————————
📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #machinelearning #neuralnetworks

⭕️ Loss functions for image segmentation

🔹 Segmentation Loss Odyssey

Github: https://github.com/JunMa11/SegLoss

Paper: https://arxiv.org/abs/2005.13449v1
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📌 Via: @cedeeplearning
📌 Other social media: https://linktr.ee/cedeeplearning

📕 deep learning in computer vision
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📌Via: @cedeeplearning

#deeplearning #math #AI
#computer_vision #neuralnetworks
#machinelearning #datascience

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 22 Neural Network Representations

Neural Networks and Deep Learning
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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #machinelearning #neuralnetworks

⭕️ BentoML

🔹BentoML is an open-source platform for high-performance ML model serving.

https://github.com/bentoml/BentoML
bentoml/BentoML

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📌Via: @cedeeplearning

#deeplearning #machinelearning
#neuralnetworks #artificial_intelligence

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 23 Computing Neural Network Output

Neural Networks and Deep Learning
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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #machinelearning #neuralnetworks

⭕️ What are tensors?

Learn from these amazing blogs:

🔹 A Gentle Introduction to Tensors for Machine Learning with NumPy by: Jason Brownlee. https://machinelearningmastery.com/introduction-to-tensors-for-machine-learning/

🔹 WTF is a Tensor?!? by: Matthew Mayo.
https://www.kdnuggets.com/2018/05/wtf-tensor.html

🔹 Quick ML Concepts: Tensors by: Chi Nok Enoch Kan.
https://towardsdatascience.com/quick-ml-concepts-tensors-eb1330d7760f

🔹 Our Instagram post covering this topic: https://www.instagram.com/p/CCSnIO9AVfd/?igshid=a2bgrgoip8zx
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📌Via: @cedeeplearning

#tensor #tensorflow #machinelearning
#neuralnetworks #deeplearninig #tutorial

⭕️ OpenAI’s new language generator GPT-3 is shockingly good—and completely mindless

📌Via: @cedeeplearning


https://www.technologyreview.com/2020/07/20/1005454/openai-machine-learning-language-generator-gpt-3-nlp/

#deeplearning #gp3 #machinelearning #math
#neuralnetworks #AI #MIT

🔹 “Three must know SQL questions to pass your data science interview”
by Jay Feng

Link: https://link.medium.com/dcyr5YtkI7

📌 Via: @cedeeplearning

#sql #datascience #interview #machinelearning
#resume

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 24 Vectorizing Across Multiple Examples

Neural Networks and Deep Learning
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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #vectorizing #machinelearning #neuralnetworks