#100daysofmlcode 검색 결과
Day 20, 21, 22,23 doing a transfer learning on previously created model. Basically created a dataset on which parameters of other model are been copied. this was done by freezing the base level of our model and updating the classifier layer. #100daysofdev #100daysofMLcode
Day 89 of #100DaysOfMLCode Got up at 5 am today 1.Brief overview on deep learning,its history and its applications and computational aspects 2.Solved number of provinces Q 3.Gave a kaggle competition today. #100DaysOfCode
Day 88 of #100DaysOfMLCode 1.Learnt abt techniques related to handling imbalance data 2.Understood abt the ROC curve for classification 3.Revised some of the algos 4.Solved dfs in a graph #100DaysOfCode
.@SimonPrinceAI finished 68 (!!!) notebooks that go with his book "Understanding Deep Learning". These are *excellent* for learning/teaching deep learning. Notebooks and book pdf at: udlbook.com #100DaysOfMLCode
Welcome to Day15 of #100DaysOfMLCode Topic covered today: 1) Error Analysis 2) Transfer Learning Also did 2 SQL BASIC Problems on Leetcode Time To Do It Again Tomorrow #ExitPoll #ExitPoll #LoksabhaElection2024
Best LLMs Courses- mltut.com/best-large-lan… @KirkDBorne #MachineLearning #100DaysOfCode #100DaysOfMLCode #Python #womenwhocode #cybersecurity #CodeNewbie #DataScience #DEVCommunity #BigData #Analytics #pythonprogramming #PowerBI #SQL #GenAI #OpenAI #chatgpt4 #AI #GPT5 #LLMs
Day 86 of #100DaysOfMLCode 1.Learned about message switching and data link protocols in CN 2.Learned abt Naive Bayes in detail. 3.Started graphs and solved one ques #100DaysOfCode
Day 85 of #100DaysOfMLCode 1.Read abt routers,circuit and packet switching in cn 2.learned abt SVM in detail and its mathematical implementation #100DaysOfCode
Day 88 of #100DaysOfMLCode 1.Learnt abt techniques related to handling imbalance data 2.Understood abt the ROC curve for classification 3.Revised some of the algos 4.Solved dfs in a graph #100DaysOfCode
Day 87 of #100DaysOfMLCode 1.Understood about the XGBoost in detail with its mathematical formulation 2.Understood abt DBSCAN algo too 3.Solved bfs in a graph #100DaysOfCode
Day 90 of #100DaysOfMLCode got up at 5 am today Had clg 9-4 1.Understood abt perceptron and its mathematical significance 2.Solved Rotting oranges Q Drew a neuron while drawing a perceptron..😅 #100DaysOfCode
Day 89 of #100DaysOfMLCode Got up at 5 am today 1.Brief overview on deep learning,its history and its applications and computational aspects 2.Solved number of provinces Q 3.Gave a kaggle competition today. #100DaysOfCode
Day 93 of #100DaysOfMLCode 1.Learned abt different types of loss functions and their significance 2.Revised previous concepts 3.Working on a assignment #100DaysOfCode
Day 92 of #100DaysOfMLCode Had clg 9-2 1.Understood abt multi layer perceptron and forward propagation Couldn't do much today,revving up for tomm. #100DaysOfCode
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Day 94 of #100DaysOfMLCode 1.Learned a bit about backpropagation in DL 2.Revised some dl concepts 3.workng on a heavy ml model from morning #100DaysOfCode
Day 93 of #100DaysOfMLCode 1.Learned abt different types of loss functions and their significance 2.Revised previous concepts 3.Working on a assignment #100DaysOfCode
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Day 92 of #100DaysOfMLCode Had clg 9-2 1.Understood abt multi layer perceptron and forward propagation Couldn't do much today,revving up for tomm. #100DaysOfCode
Day 91 of #100DaysOfMLCode 1.Understood the detailed analogy of perceptron with its loss function and problem associated with it for non linear data 2.Creating my new portfolio website #100DaysOfCode
Spent last week training a CycleGAN to turn photos into Van Gogh paintings 🎨 - The model has some issues, especially with faces. I'll fix that soon. - Next up, I'll deploy the model and build a React app that takes photos and outputs a painting. #100DaysOfMLCode #100daysofcode
Day 87 of #100DaysOfMLCode 1.Understood about the XGBoost in detail with its mathematical formulation 2.Understood abt DBSCAN algo too 3.Solved bfs in a graph #100DaysOfCode
Day 86 of #100DaysOfMLCode 1.Learned about message switching and data link protocols in CN 2.Learned abt Naive Bayes in detail. 3.Started graphs and solved one ques #100DaysOfCode
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Welcome to Day15 of #100DaysOfMLCode Topic covered today: 1) Error Analysis 2) Transfer Learning Also did 2 SQL BASIC Problems on Leetcode Time To Do It Again Tomorrow #ExitPoll #ExitPoll #LoksabhaElection2024
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Day 89 of #100DaysOfMLCode Got up at 5 am today 1.Brief overview on deep learning,its history and its applications and computational aspects 2.Solved number of provinces Q 3.Gave a kaggle competition today. #100DaysOfCode
Day 88 of #100DaysOfMLCode 1.Learnt abt techniques related to handling imbalance data 2.Understood abt the ROC curve for classification 3.Revised some of the algos 4.Solved dfs in a graph #100DaysOfCode
Day 20, 21, 22,23 doing a transfer learning on previously created model. Basically created a dataset on which parameters of other model are been copied. this was done by freezing the base level of our model and updating the classifier layer. #100daysofdev #100daysofMLcode
Day 88 of #100DaysOfMLCode 1.Learnt abt techniques related to handling imbalance data 2.Understood abt the ROC curve for classification 3.Revised some of the algos 4.Solved dfs in a graph #100DaysOfCode
Day 87 of #100DaysOfMLCode 1.Understood about the XGBoost in detail with its mathematical formulation 2.Understood abt DBSCAN algo too 3.Solved bfs in a graph #100DaysOfCode
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