Update README.md

Author: Elvis-Not-Presley-One

README.md

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 # Animal-Image-Recognition-Model
 
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+This is a image recognition model project that uses Tensorflows CNN(Convolutional Neural Network) architecture. 
+ - This was a class projectcode was writen by four people 
+
+# what is a Convolutional Neural Network(s) 
+- A Convolutional Neural Network is a type of neural network architecture that is popular use cases are for:
+  -  image reconition
+  -  object detection
+  -  image classification
+  -  video recognition
+ 
+ - A Neural Network is composed of 3 Layers : 
+    - Input Layer: Takes in raw data, like pictures or numbers. 
+    - Hidden Layers: Process and combine the data to find patterns.
+    - Output Layer: Gives the final result, like “This is a cat.” 
+
+ - Learning Through Mistakes:
+     - At first, guesses are random. The network learns by fixing mistakes, repeating until it gets better.
+ - Connection Strength:
+     - The links between neurons are like wires. Learning strengthens important connections and weakens less useful ones.
+
+
+  # How Tensorflow Works 
+  -  For this project we decided to use tensorflow as our main lib 
+     -  TensorFlow helps create and train models for applications like image recognition, language processing, and predictions.
+     - TensorFlow uses "tensors," which are multi-dimensional arrays, to process and analyze data. It offers user-friendly tools for beginners and advanced features for experts and works on different platforms, including computers and mobile devices, making it flexible for various projects.
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+       
+   ![](https://miro.medium.com/v2/resize:fit:720/format:webp/1*CnNorCR4Zdq7pVchdsRGyw.png)
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+
+
+# Results
+- The Model Produced around a ~98% accuracy
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+![](https://github.com/Elvis-Not-Presley-One/Animal-Image-Recognition-Model/blob/main/ss.png)
+
+# Dataset
+- Since github will not allow me to include the dataset we made the link for the Kaggle page will be below
+  - About 3gb worth of images:
+    - comprising of Googles recaptcha v2 images for most non-animal images and landscapes;
+    - The other half comes from 4 diffrent large animla datasets with over 50+ diffrent species
+      
+  https://www.kaggle.com/datasets/tylerelvis/animal-vs-non-animal-image-recognition-dataset
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+      
+# Rrequirements
+- All Libs that need to be downloaded to the latest verstion
+  
+    ```!pip install tensorflow opencv-python matplotlib```
+
+
+# Links That Helped Us Along The Way 
+Important links:
+-	https://www.datacamp.com/tutorial/cnn-tensorflow-python
+    -	In-depth info about tensors and how image recognition works 
+- https://www.youtube.com/watch?v=jztwpsIzEGc
+    -	Great video, guy goes really in-depth with everything 
+-	https://www.tensorflow.org/api_docs/python/tf/all_symbols
+    -	TensorFlow Documentation 
+-	https://github.com/billy-enrizky/TensorFlow-Image-Classification/blob/main/index.ipynb
+    -	Really good example project 
+
+