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๐ Hey TensorFlow enthusiasts! ๐ค
Did you know that tf.keras.datasets has some awesome built-in datasets to kickstart yourย #MachineLearningย journey? ๐๐ Here’s a quick run-through:
1. CIFAR-10 and CIFAR-100 ๐จ: These are popular image datasets containing 60,000 32×32 color images in 10 and 100 different classes, respectively. Great for image classification tasks! ๐ผ๏ธ๐ค
tf.keras.datasets.cifar10.load_data()
tf.keras.datasets.cifar100.load_data()
2. MNIST and Fashion MNIST ๐๐ข: Classic datasets for handwritten digit (0-9) recognition and clothing item classification. Both contain 70,000 28×28 grayscale images. Perfect for beginners! ๐
tf.keras.datasets.fashion_mnist.load_data()
3. IMDB Movie Reviews ๐ฌ๐: This dataset has 25,000 highly polar movie reviews for sentiment analysis. Test your NLP skills and classify positive or negative reviews! ๐ฌ๐ง
tf.keras.datasets.imdb.load_data()
4. Reuters News Topics ๐ฐ: A collection of 11,228 newswires from Reuters, labeled with 46 topics. Ideal for multi-class text classification tasks. ๐๐
tf.keras.datasets.reuters.load_data()
Dive into these datasets and level up yourย #DeepLearningย game! ๐๐ฉโ๐ป๐จโ๐ป Happy coding! ๐ป๐
๐ฏ Feel free to follow me here:ย Shrijayan Rajendranย ๐จโ๐ฌ
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