Code Issues Pull requests (Spring 2017) Assignment 2: GPU Executor deep-learning computation-graph neural-nets gpu-kernels gpu-executor Updated Apr 27, 2017 Python jhole89 / classifying-cancer Star 33 Code Issues Pull requests A Python-Tensorflow neural network for classifying cancer data ...
The assignment is to be carried out using Python V3.6 (or higher) and TensorFlow 2.0 (or higher). In this assignment, we were tasked with creating a One-shot Siamese Neural Network, using TensorFlow 2.0, based on the work presented by Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov....
Assignment #1 Q1: k-Nearest Neighbor classifier (20 points) [done!] Q2: Training a Support Vector Machine (25 points) [done!] Q3: Implement a Softmax classifier (20 points) [done!] Q4: Two-Layer Neural Network (25 points) [done!] Q5: Higher Level Representations: Image Features (10...
Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions...
all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network… ...
You now understand how convolutional neural networks work. You have implemented all the building blocks of a neural network. In the next assignment you will implement a ConvNet using TensorFlow.Footer © 2023 GitHub, Inc. Footer navigation Terms Privacy Security Status Docs...
Write a python code for calculating the output of neural network using Gradient Descent algorithm Assignment 2 Q.1. Write python code from scratch for simple Linear Regression problem, the following training data are given. X = [2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6] Y = [5.1, 6.1, ...
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NGC Museum: Biomimetic Credit Assignment and Brain-Inspired Computing with NGC-Learn Python 4 ngc-learn-legacy Public Forked from NACLab/ngc-learn NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python Python 1 Repositories Type Language Sort Showing 4 of 4 reposi...
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration machine-learningdeep-learningdynamicpython3pytorchneural-networksgpu-accelerationspiking-neural-networksgpu-computingstdp UpdatedJul 31, 2024 Python BICLab/Spike-Driven-Transformer-V2 ...