Machine-Learning

This repository contain the exercises for the machine learning course.

Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
Linear Regression		Linear Regression
ML_from_scratch		ML_from_scratch
week4		week4
week_3.		week_3.
README.md		README.md
ReLU_activation.py		ReLU_activation.py
Recurrent_Neural_Network_w_tf&keras.ipynb		Recurrent_Neural_Network_w_tf&keras.ipynb
Sigmoid_Activation.py		Sigmoid_Activation.py
__init__.py		__init__.py
ann_train.py		ann_train.py
autoencoder_theano.py		autoencoder_theano.py
average_loss.py		average_loss.py
back_prop_full.py		back_prop_full.py
back_prop_w0.py		back_prop_w0.py
bayes_classifier_gaussian.py		bayes_classifier_gaussian.py
chisquare.py		chisquare.py
ci_comparison.py		ci_comparison.py
cross_entropy_loss_fun.py		cross_entropy_loss_fun.py
dcgan_tf.py		dcgan_tf.py
epsilon_greedy.py		epsilon_greedy.py
linear_function.py		linear_function.py
logistic_train.py		logistic_train.py
loss_fun_calc_full.py		loss_fun_calc_full.py
loss_fun_man_1.py		loss_fun_man_1.py
parameterize_guassian.py		parameterize_guassian.py
pat_der.py		pat_der.py
pcolor.ipynb		pcolor.ipynb
pcolor.py		pcolor.py
process.py		process.py
recurrent_neural_network_w_tf&keras.py		recurrent_neural_network_w_tf&keras.py
simple-feed-forward-neural-network-with-tensorflow.ipynb		simple-feed-forward-neural-network-with-tensorflow.ipynb
test_stochastic_tensor.py		test_stochastic_tensor.py
tra_run_linear_model.py		tra_run_linear_model.py
vae_tf.py		vae_tf.py
visualize_latent_space.py		visualize_latent_space.py

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