Chapter 1: Making Paper Cryptography Tools
Chapter 2: Programming in the Interactive Shell
Chapter 3: Strings and Writing Programs
Chapter 4: The Reverse Cipher
Chapter 5: The Caesar Cipher
Chapter 6: Hacking the Caesar Cipher with Brute-Force
Chapter 7: Encrypting with the Transposition Cipher
Chapter 8: Decrypting with the Transposition Cipher
Chapter 9: Programming a Program to Test Your Program
Chapter 10: Encrypting and Decrypting Files
Chapter 11: Detecting English Programmatically
Chapter 12: Hacking the Transposition Cipher
Chapter 13: A Modular Arithmetic Module for the Affine Cipher
Chapter 14: Programming the Affine Cipher
Chapter 15: Hacking the Affine Cipher
Chapter 16: Programming the Simple Substitution Cipher
Chapter 17: Hacking the Simple Substitution Cipher
Chapter 18: Programming the Vigenère Cipher
Chapter 19: Frequency Analysis
Chapter 20: Hacking the Vigenère Cipher
@Machine_learn #book #python
Chapter 2: Programming in the Interactive Shell
Chapter 3: Strings and Writing Programs
Chapter 4: The Reverse Cipher
Chapter 5: The Caesar Cipher
Chapter 6: Hacking the Caesar Cipher with Brute-Force
Chapter 7: Encrypting with the Transposition Cipher
Chapter 8: Decrypting with the Transposition Cipher
Chapter 9: Programming a Program to Test Your Program
Chapter 10: Encrypting and Decrypting Files
Chapter 11: Detecting English Programmatically
Chapter 12: Hacking the Transposition Cipher
Chapter 13: A Modular Arithmetic Module for the Affine Cipher
Chapter 14: Programming the Affine Cipher
Chapter 15: Hacking the Affine Cipher
Chapter 16: Programming the Simple Substitution Cipher
Chapter 17: Hacking the Simple Substitution Cipher
Chapter 18: Programming the Vigenère Cipher
Chapter 19: Frequency Analysis
Chapter 20: Hacking the Vigenère Cipher
@Machine_learn #book #python
2_5269538101797061219.pdf
4.5 MB
Chapter 21: The One-Time Pad Cipher
Chapter 22: Finding and Generating Prime Numbers
Chapter 23: Generating Keys for the Public Key Cipher
Chapter 24: Programming the Public Key
@Machine_learn #book #python
Chapter 22: Finding and Generating Prime Numbers
Chapter 23: Generating Keys for the Public Key Cipher
Chapter 24: Programming the Public Key
@Machine_learn #book #python
How to Perform Object Detection in Photographs Using Mask R-CNN with Keras
@Machine_learn
https://machinelearningmastery.com/how-to-perform-object-detection-in-photographs-with-mask-r-cnn-in-keras/
@Machine_learn
https://machinelearningmastery.com/how-to-perform-object-detection-in-photographs-with-mask-r-cnn-in-keras/
@Machine_learn
Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
Github : https://github.com/tensorflow/graphics
Article: https://medium.com/tensorflow/introducing-tensorflow-graphics-computer-graphics-meets-deep-learning-c8e3877b7668
Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
Github : https://github.com/tensorflow/graphics
Article: https://medium.com/tensorflow/introducing-tensorflow-graphics-computer-graphics-meets-deep-learning-c8e3877b7668
GitHub
GitHub - tensorflow/graphics: TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow - tensorflow/graphics
@Machine_learn
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
https://github.com/rwightman/pytorch-image-models?fbclid=IwAR0QNx9Hui3Tucr04-yR5RlSXF9ApTNcXbMAilZrDnhFDiTy5QduNQQjgqA
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
https://github.com/rwightman/pytorch-image-models?fbclid=IwAR0QNx9Hui3Tucr04-yR5RlSXF9ApTNcXbMAilZrDnhFDiTy5QduNQQjgqA
GitHub
GitHub - huggingface/pytorch-image-models: The largest collection of PyTorch image encoders / backbones. Including train, eval…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V...
@Machine_learn
How to Visualize Filters and Feature Maps in Convolutional Neural Networks #CNN #DL #Tools
https://machinelearningmastery.com/how-to-visualize-filters-and-feature-maps-in-convolutional-neural-networks/
How to Visualize Filters and Feature Maps in Convolutional Neural Networks #CNN #DL #Tools
https://machinelearningmastery.com/how-to-visualize-filters-and-feature-maps-in-convolutional-neural-networks/
ODSC is bringing you Blockbuster workshop in Quantitative Finance+ Data Science absolutely FREE. The workshop has three presenters from diverse domains coming together to deliver it to you on June 29th ..Hurry Up!!! Limited seats Only.
Pankaj is Quantitative Finance researcher for State Street who is also one CFA level 2 candidate
Abinash Panda is CEO and Founder of Prodios is the Founding member of the famous pgmpy package. He has also written two books for Pakt publications in Probabilistic Graphical Models and Markov Models
Usha Rengaraju is an expert in Quantitative Finance and Bayesian Networks.
The workshop will also be followed by the AMA session by Swiggy Data Science Leaders.
RSVP here : https://bit.ly/2IiAzGc
#datascience #odsc #openai #neuralnetworks #ml #deeplearning #analytics #machinelearning #ai #artificialintelligence
@Machine_learn
Pankaj is Quantitative Finance researcher for State Street who is also one CFA level 2 candidate
Abinash Panda is CEO and Founder of Prodios is the Founding member of the famous pgmpy package. He has also written two books for Pakt publications in Probabilistic Graphical Models and Markov Models
Usha Rengaraju is an expert in Quantitative Finance and Bayesian Networks.
The workshop will also be followed by the AMA session by Swiggy Data Science Leaders.
RSVP here : https://bit.ly/2IiAzGc
#datascience #odsc #openai #neuralnetworks #ml #deeplearning #analytics #machinelearning #ai #artificialintelligence
@Machine_learn
Meetup
Login to Meetup | Meetup
Not a Meetup member yet? Log in and find groups that host online or in person events and meet people in your local community who share your interests.
#Deep Learning with Theano Build the artificial brain of the future, today
#Christopher Bourez
#DL #book
@Machine_learn
#Christopher Bourez
#DL #book
@Machine_learn
1_5050891439995617440.pdf
5.5 MB
#Deep Learning with Theano Build the artificial brain of the future, today
#Christopher Bourez
#DL #book
@Machine_learn
#Christopher Bourez
#DL #book
@Machine_learn
Can Celebrities Reduce Prejudice? The case of Mohamed Salah
A pre-analysis plan
#Mohamed_Salah
"الحمد لله كثيرا"
#paper
@Machine_learn
A pre-analysis plan
#Mohamed_Salah
"الحمد لله كثيرا"
#paper
@Machine_learn
20181115AB_PAP.pdf
5.5 MB
Can Celebrities Reduce Prejudice? The case of Mohamed Salah
A pre-analysis plan
#Mohamed_Salah
"الحمد لله كثيرا"
#paper
@Machine_learn
A pre-analysis plan
#Mohamed_Salah
"الحمد لله كثيرا"
#paper
@Machine_learn