Hands_On_Machine_Learning

From Aurelien Geron

This repo, consists of code learnings & theory Summarization from the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurelion Geron
Every chapter has its own notebook, which includes short summaries and code implementation provided in the book

Requires Python 3.10.1

I have used "pipreqsnb" to generate the requirements.txt file
1. In terminal , run pipreqsnb .

requirements.txt

Name		Name	Last commit message	Last commit date
images/ann		images/ann
.gitattributes		.gitattributes
.gitignore		.gitignore
L10_IntroToArtificialNNwithKeras.ipynb		L10_IntroToArtificialNNwithKeras.ipynb
L10_excercises_neural_nets_with_keras.ipynb		L10_excercises_neural_nets_with_keras.ipynb
L11_Training_DeepNeuralNetworks.ipynb		L11_Training_DeepNeuralNetworks.ipynb
L12_Custom_Models_Using_Tensorflow.ipynb		L12_Custom_Models_Using_Tensorflow.ipynb
L14_Convolutional_Neural_networks.ipynb		L14_Convolutional_Neural_networks.ipynb
L14_excersises.ipynb		L14_excersises.ipynb
L4_TrainingModels_LR_GD.ipynb		L4_TrainingModels_LR_GD.ipynb
L4_excersises_training_linear_models.ipynb		L4_excersises_training_linear_models.ipynb
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt