AI人工智能算法培训9大模块代码

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AI人工智能算法培训代码
下面代码所涉及的章节内容介绍（温馨提示！附件包中没有视频）：
9目标检测算法8web作品集展示
7GAN模型的训练和测试
6股票预测和生成唐诗
5人脸生成和人脸对比
4多GPU和多线程数据处理
3VAE 模型理论和实现
2深度学习基础理论和实现
1Python 基础


p90_12balls.py
temp_p42_CVAE_mnist.py
temp_unti_recursive.py
p85_web_framework.py
p86.py p87_RCNN.py
p88_SPP.pyp
89_SSD.py
p81_StarGAN_mnist.py
p82_WGAN_StarGAN_mnist.py
p83_web.py
p84_web_poem.py
p77_dialog_DS.py
p78_GAN_mnist.py
p79_CGAN_mnist.py
p80_Pix2Pix.py
p74_framework.py
p75_translation.py
p76_reading_comprehension.py
p71_image_title.py
p70_bidirec_RNN.py
p72_translation.py
p73_self_attention.py
p67_poem.py
p68_my_MultiRNNCell.py
p65_my_LSTM.py
p69_poem_multi_dropout.py
p62_InceptionV3.py
р63_ArcFace_p51.ру
p58_transpose_ResNet.py
p54_binary_tree.py
p56_ResNet.py
p57_my_bn.py
p50 framework.py
p51_face_recog.py
p64_stock.py
p66_read_qts.py
p59_ResNet_VAE_face.py
p60_obj_clip.py
p61_UNet.py
p55_VAE_face.py
p49_buffer_p44.py
p52_Complex.py
p53_sin.py
p45_celeba.py
p46_threading.py
p47_buffer.py
p48_BufferDS.py
p42_CVAE_mnist.py

p43_framework.py
p44_CVAE_mnist_gpus.py
p41_VAE_mnist_test.py
p37_GPU.py
p38_argparse.py
p39_framework.py
p40_VAE_mnist.py
p32_sin.py
p33_sin_cos.py
p34_conv_mnist.py
p35_TB_mnist.py
p36_Config.py
p28_tf_basic.py
p29_tf_sqrt.py
p30_samples_sqrt.py
p31_mnist.py
p24_two_x.py
p25_solve.py
p26_Exp.py
p27_min_GD.py
p20_newton.py
p21_GD1_sqrt.py
p22_binary_sqrt.py
p23_GD2_sqrt.py
p17_rabbit_50.py
p19_queens.py
p14_train.py
p15_Frac.py
p16_24.py
p11_combination.py
p12_permutation.py
p13_match.py
p07_param_list_dict.py
p06_def.pyp08_gcd.py
p09_hanoi.py
p10_rabbit.py
p01_factorial.py
p02_peach.py
p03_poke.py
p04_prisoner.py
p05_guess_name.py
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关键词：培训课件 智能算法 人工智能 Translation Permutation

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