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#GoogleQuickDraw #QuickDraw #Google #Python #Challenge #FreeBirdsCrew Google Quick, Draw! is a drawing game that is training the neural network to recognize the Doodled images, messy images, or images that are not able to understand using Deep Learning along with Data Science ( Data Scrapping, Data Modeling, Data Pre-Processing, and Data Visualization). 🔴In this Project, I Explain and Use Following things : ✓ Google Colab Notebook due to High RAM and Disk Space. ✓ Numpy Bitmap Files (.npy) files of Doodled images to train our Model of Quick Draw. ✓ Data Pre-Processing and Data Manipulation ✓ Convolutional Neural Network that is based on 3 Convolutional 2D Layers, 3 Max Pooling 2D Layers, Flatten, and 2 Dense Layers that are Fully connected. ✓ Explained about Activation Functions (RELU, Sigmoid). 🔴We've combined technologies from the most popular platforms to create a complete experience ✓ Keras: straightforward model building techniques for improved modularity and ease of deployment. ✓ TensorFlow: core computational fundamentals and detailed functionality. 🔴Note - If Computational power is not enough to train the model on 10-12 Doodled images or .npy files for Quick Draw. Download .npy Files - https://bit.ly/2P7TDut Quickdraw API for accessing the Quick Draw data that downloads the data files as and when needed, caches them locally and interprets them so they can be used. API - https://bit.ly/2DkRCbz To get the Source Code, Follow me on Github - https://bit.ly/3gg07Uc 💡ElectronJS Tutorial using NodeJS - • 🔵Python Tutorial - Real-Time Text Editor |... Follow us on Instagram and Telegram to get Updates on Projects and Ideas that We are Working On !! Instagram - https://bit.ly/3jLR8vY Telegram - https://bit.ly/30bstcE 🟢Next Project - Data Analysis with Data Visualization along with Machine Learning Basic Algorithms from Scratch. Dashboard with Plotly Dash will Build for Data Visualization. The More You Analyze, the More You Get Insights from the Data.